To see the other types of publications on this topic, follow the link: Industrial Robots.
Journal articles on the topic 'Industrial Robots'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Industrial Robots.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Kootbally, Zeid. "Industrial robot capability models for agile manufacturing." Industrial Robot: An International Journal 43, no. 5 (August 15, 2016): 481–94. http://dx.doi.org/10.1108/ir-02-2016-0071.
Full textAbstract:
Purpose This paper aims to represent a capability model for industrial robot as they pertain to assembly tasks. Design/methodology/approach The architecture of a real kit building application is provided to demonstrate how robot capabilities can be used to fully automate the planning of assembly tasks. Discussion on the planning infrastructure is done with the Planning Domain Definition Language (PDDL) for heterogeneous multi robot systems. Findings The paper describes PDDL domain and problem files that are used by a planner to generate a plan for kitting. Discussion on the plan shows that the best robot is selected to carry out assembly actions. Originality/value The author presents a robot capability model that is intended to be used for helping manufacturers to characterize the different capabilities their robots contribute to help the end user to select the appropriate robots for the appropriate tasks, selecting backup robots during robot’s failures to limit the deterioration of the system’s productivity and the products’ quality and limiting robots’ failures and increasing productivity by providing a tool to manufacturers that outputs a process plan that assigns the best robot to each task needed to accomplish the assembly.
2
Sathuluri, Akhil, Anand Vazhapilli Sureshbabu, Jintin Frank, Maximilian Amm, and Markus Zimmermann. "Computational Systems Design of Low-Cost Lightweight Robots." Robotics 12, no. 4 (June 25, 2023): 91. http://dx.doi.org/10.3390/robotics12040091.
Full textAbstract:
With the increased demand for customisation, developing task-specific robots for industrial and personal applications has become essential. Collaborative robots are often preferred over conventional industrial robots in human-centred production environments. However, fixed architecture robots lack the ability to adapt to changing user demands, while modular, reconfigurable robots provide a quick and affordable alternative. Standardised robot modules often derive their characteristics from conventional industrial robots, making them expensive and bulky and potentially limiting their wider adoption. To address this issue, the current work proposes a top-down multidisciplinary computational design strategy emphasising the low cost and lightweight attributes of modular robots within two consecutive optimisation problems. The first step employs an informed search strategy to explore the design space of robot modules to identify a low-cost robot architecture and controller. The second step employs dynamics-informed structural optimisation to reduce the robot’s net weight. The proposed methodology is demonstrated on a set of example requirements, illustrating that (1) the robot modules allow exploring non-intuitive robot architectures, (2) the structural mass of the resulting robot is 16 % lower compared to a robot designed using conventional aluminium tubes, and (3) the designed modules ensure the physical feasibility of the robots produced.
3
Dumas, Claire, Stéphane Caro, Mehdi Cherif, Sébastien Garnier, and Benoît Furet. "Joint stiffness identification of industrial serial robots." Robotica 30, no. 4 (August 8, 2011): 649–59. http://dx.doi.org/10.1017/s0263574711000932.
Full textAbstract:
SUMMARYThis paper presents a new methodology for the joint stiffness identification of industrial serial robots and as consequence for the evaluation of both translational and rotational displacements of the robot's end-effector subject to an external wrench (force and torque). In this paper, the robot's links are supposed to be quite stiffer than the actuated joints as it is usually the case with industrial serial robots. The robustness of the identification method and the sensitivity of the results to measurement errors, and the number of experimental tests are also analyzed. The Kuka KR240-2 robot is used as an illustrative example throughout the paper.
4
Ozawa, Mikio, Daiki Kato, Hiroaki Hanai, Toshiki Hirogaki, and Eiichi Aoyama. "Skillful Manipulation of Electronic Musical-Note-Type Instrument Using Industrial Humanoid Robot." International Journal of Mechanical Engineering and Robotics Research 13, no. 3 (2024): 325–30. http://dx.doi.org/10.18178/ijmerr.13.3.325-330.
Full textAbstract:
Industrial robots contribute significantly to productivity improvements, quality improvements, and cost reductions at production sites. Among the industrial robots, those that can cooperate with humans without safety measures or output limitations on the motors of their axes are known as cooperative robots. In the manufacturing field, there is a growing demand for production lines where humans and robots can coexist and cooperate instead of those where robots perform all processes on their own. In this study, we focus on a cooperative robot fabricated using a 3D resin printer and aim to improve its operation using the same tools as humans. As an example of such an application, we attempt to develop a sound-feedback-based motion for manipulating an electronic musical instrument called an “otamatone”. First, the hardware for grasping the object is created using a 3D printer, and notes on the modeling process are described. We then construct an advanced sound feedback system using the Robot Operating System (ROS) to identify the sounding position and pitch of the instrument. In this study, we propose a partial model-matching method for determining the Proportional–Integral–Derivative (PID) gains of the servomotors of each joint of a robot. Consequently, the accuracy of the robot’s motion improves and the accuracy of the intended musical performance is enhanced.
5
Bingol, Mustafa Can, and Omur Aydogmus. "Practical application of a safe human-robot interaction software." Industrial Robot: the international journal of robotics research and application 47, no. 3 (January 16, 2020): 359–68. http://dx.doi.org/10.1108/ir-09-2019-0180.
Full textAbstract:
Purpose Because of the increased use of robots in the industry, it has become inevitable for humans and robots to be able to work together. Therefore, human security has become the primary noncompromising factor of joint human and robot operations. For this reason, the purpose of this study was to develop a safe human-robot interaction software based on vision and touch. Design/methodology/approach The software consists of three modules. Firstly, the vision module has two tasks: to determine whether there is a human presence and to measure the distance between the robot and the human within the robot’s working space using convolutional neural networks (CNNs) and depth sensors. Secondly, the touch detection module perceives whether or not a human physically touches the robot within the same work environment using robot axis torques, wavelet packet decomposition algorithm and CNN. Lastly, the robot’s operating speed is adjusted according to hazard levels came from vision and touch module using the robot’s control module. Findings The developed software was tested with an industrial robot manipulator and successful results were obtained with minimal error. Practical implications The success of the developed algorithm was demonstrated in the current study and the algorithm can be used in other industrial robots for safety. Originality/value In this study, a new and practical safety algorithm is proposed and the health of people working with industrial robots is guaranteed.
6
Ehrenman, Gayle. "Eyes on the Line." Mechanical Engineering 127, no. 08 (August 1, 2005): 25–27. http://dx.doi.org/10.1115/1.2005-aug-2.
Full textAbstract:
This article discusses vision-enabled robots that are helping factories to keep the production lines rolling, even when the parts are out of place. The automotive industry was one of the earliest to adopt industrial robots, and continues to be one of its biggest users, but now industrial robots are turning up in more unusual factory settings, including pharmaceutical production and packaging, consumer electronics assembly, machine tooling, and food packaging. No current market research is available that breaks down vision-enabled versus blind robot usage. However, all the major industrial robot manufacturers are turning out models that are vision-enabled; one manufacturer said that its entire current line of robots are vision enabled. All it takes to change over the robot system is some fairly basic tooling changes to the robot's end-effector, and some programming changes in the software. The combination of speed, relatively low cost , flexibility, and ease of use that vision-enabled robots offer is making an increasing number of factories consider putting another set of eyes on their lines.
7
Karwowski, Waldemar, T. Plank, M. Parsaei, and M. Rahimi. "Human Perception of the Maximum Safe Speed of Robot Motions." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (September 1987): 186–90. http://dx.doi.org/10.1177/154193128703100211.
Full textAbstract:
A laboratory experiment was conducted to determine the maximum speeds of robot arm motion considered by the subjects as safe for human operators working in a close proximity of the robot's working envelope. Twenty-nine college students (16 males and 13 females) participated in the study as monitors of the simulated assembly tasks performed by two industrial robots of different size and work capabilities. The results show that the speed selection process depends on the robot's physical size and its initial speed at the start of the adjustment process. Subjects selected higher speeds as “safe” if they were first exposed to the maximum speed of the robot, and significantly lower values when the initial speed of the robot's actions was only 5% of maximum. It was also shown that the subject's previous exposure to robots and the level of their knowledge of industrial robots highly affected their perception of safe speeds of robot motions. Such effects differ, however, between males and females.
8
Pytel, Ivan, Oleh Kokoshko, and Rostyslav Mastylo. "FACTORS AFFECTING THE ACCURACY AND REPEATABILITY OF INDUSTRIAL ROBOT POSITIONING." Measuring Equipment and Metrology 83, no. 4 (2022): 30–35. http://dx.doi.org/10.23939/istcmtm2022.04.030.
Full textAbstract:
Industrial robots refer to the most complex products of mechanical engineering and electronic equipment in terms of their labor intensity, accuracy, and a class of manufacture as well as quality requirements. Both static and dynamic positioning inaccuracies occur during their operation. Static positioning depends mainly on such parameters as joint axis geometry and angle offset. Non-geometric parameters include compliance (elasticity of joints and bonds), gear form errors (eccentricity and gear errors), gear backlash, and temperature-related expansion. Dynamic positioning is only relevant for large robots that are subject to high speeds and accelerations. Positioning accuracy is affected by the design features of the robot, the control system, the speed of movement and rotation of the manipulator, temperature, and vibrations, both inherent and caused by the robot's location in production. This research examines the sources of positioning inaccuracy and gives recommendations for improving the positioning characteristics of robots.
9
Pinzón Quintero, Camilo Alberto, Ángel Andrés Joya Quintero, Felipe González Roldán, and Pedro Fabián Cárdenas Herrera. "Collaborative Pick and Place using industrial robots, simulation and deployment." Visión electrónica 14, no. 1 (January 31, 2020): 72–78. http://dx.doi.org/10.14483/22484728.16364.
Full textAbstract:
In recent times, a fraction of industrial robotics has been oriented to a collaborative approach between different devices to achieve a specific task. This paper describes the simulation and deployment of a metallic beam pick a place process using tow industrial robots. At first, the tool design is presented; it used an electromagnet attached to the robot end effector to lift the load correctly. The communication sequence between the robot's controllers using the digital I/O modules is discussed. The software Robot Studio allowed the process simulation, in which the performance was validated. All the tasks were tested in two ABB IRB 140 industrial robots.
10
Liu, Zizhuo, Junsong Wang, Jiaying Wu, and Anqi Xing. "Research and expectation on industrial welding robots." Applied and Computational Engineering 11, no. 1 (September 25, 2023): 263–67. http://dx.doi.org/10.54254/2755-2721/11/20230263.
Full textAbstract:
In the industrial producing field, the robots are gradually replacing the traditional manual works and their development is attracting more and more concern due to their great performance. The welding robot is a kind of typical industrial robot, which has been used in various fields to gradually replace the manual fields because of the advantages like high accuracy, persistent work, and fitness for complex environments. As China is transforming into the industrial powerful country, the demand for industrial welding robots is increasing. It is important to analyse the current development of welding robots. Through the analysis of the current situation of Chinas industrial welding robot industry, this article will introduce the concept of industrial welding robots, analyze the market shares of existing welding robots, summarize the key technologies and conclude the advantages and disadvantages of welding robots, to forecast the future market development of welding robots. This article may provide a reference for the development in future.
11
Yang, Xiaodong. "A survey of offline precision calibration of industrial robots." Applied and Computational Engineering 81, no. 1 (November 8, 2024): 16–24. http://dx.doi.org/10.54254/2755-2721/81/20240919.
Full textAbstract:
Abstract. As the need for precision and efficiency grows in industrial manufacturing, the accuracy of industrial robots assumes paramount importance. Nevertheless, factors, such as mechanical structures and assembly processes often introduce errors, compromising robots' positioning and repeatability accuracy. Consequently, precise calibration and compensation of these errors are paramount for optimizing robots performance. A thorough analysis of error sources and the establishment of error models in industrial robots are conducted in the present study, with special attention paid to offline calibration methods. This paper reviews the robot error model building methods and offline accuracy calibration techniques, summarizes the technical difficulties of the calibration task, and proposes the future development direction for the difficulties such as the complexity of error modeling, the difficulty of non-motor calibration calculation, and the traditional stiffness compensation that does not meet the needs of the robot's operation process. The importance of this research lies in its potential to improve the accuracy and reliability of industrial robots, thus contributing to the development of industrial automation.
12
Batlle, J., and P. Ridao. "Mobile robots in industrial environments." Human Systems Management 18, no. 3-4 (December 29, 1999): 275–85. http://dx.doi.org/10.3233/hsm-1999-183-412.
Full textAbstract:
It is known that mobile robot applications have a preponderant role in industrial and social environments and, more specifically, helping human beings in carrying out difficult tasks in hostile environments. From teleoperated systems to autonomous robots, there is a wide variety of possibilities requiring a high technological level. Many concepts such as perception, manipulator design, grasping, dynamic control, etc. are involved in the field of industrial mobile robots. In this context, human–robot interaction is one of the most widely studied topics over the last few years together with computer vision techniques and virtual reality tools. In all these technical fields, a common goal is pursued, i.e., robots to come closer to human skills. In this paper, first some important research projects and contributions on mobile robots in industrial environments are overviewed. Second, a proposal for classification of mobile robot architectures is described. Third, results achieved in two specific application areas of mobile robotics are reported. The first is related to the tele-operation of a mobile robot called ROGER by means of a TCP/IP network. The control system of the robot is built up as a distributed system, using distributed object oriented software, CORBA compatible. The second is related to the teleoperation of an underwater robot called GARBI. (Research project co-ordinated with the Polytechnic University of Catalonia (Prof. Josep Amat) and financed by the Spanish Government.) The utility of this kind of prototype is demonstrated in tasks such as welding applications in underwater environments, inspection of dammed walls, etc. Finally, an industrial project involving the use of intelligent autonomous robots is presented showing how the experience gained in robotics has been applied.
13
Maulana, Mirza Arif, Reza Nandika, Nur Iksan, Achmad Yani, Ismail Yusuf Panessai, and Nurul Akhmal Mohd Zulkefli. "Goods Movement Robot Prototype Design With Wheel Arm System." International Journal of Recent Technology and Applied Science (IJORTAS) 5, no. 1 (March 7, 2023): 33–41. http://dx.doi.org/10.36079/lamintang.ijortas-0501.497.
Full textAbstract:
One of the uses of robotics technology that is developing is in the field of warehousing, with robots transferring vehicle goods used in the industrial world, especially in the warehousing section. The item transfer robot has 2 navigations, namely on the wheeled part, namely the robot can maneuver in all directions without the need to rotate the body of the robot (holonomic robot). Then one of the robots that is used quite often in the industrial world is the arm manipulator. Robots that have a physical shape like a human arm and a degree of freedom (Degree of Freedom). The transfer robot system is controlled remotely using an IoT-based smartphone using the ESP32 Wemos D1 R32 module as the robot's driving brain and ESP32-Cam as the robot's drilling visual. Several robot tests are carried out to ensure that the designed robot can run properly. From the results of functional testing, parts of the robot can run well. The robot can walk through commands from a smartphone, the gripper on the arm manipulator can grasp objects and the ESP32-Cam can display images to the smartphone.
14
Li, Zhaolu, Ning Xu, Xiaoli Zhang, Xiafu Peng, and Yumin Song. "Motion Control Method of Bionic Robot Dog Based on Vision and Navigation Information." Applied Sciences 13, no. 6 (March 13, 2023): 3664. http://dx.doi.org/10.3390/app13063664.
Full textAbstract:
With the progress and development of AI technology and industrial automation technology, AI robot dogs are widely used in engineering practice to replace human beings in high-precision and tedious industrial operations. Bionic robots easily produce control errors due to the influence of spatial disturbance factors in the process of pose determination. It is necessary to calibrate robots accurately to improve the positioning control accuracy of bionic robots. Therefore, a robust control algorithm for bionic robots based on binocular vision navigation is proposed. An optical CCD binocular vision dynamic tracking system is used to measure the end position and pose parameters of a bionic robot, and the kinematics model of the controlled object is established. Taking the degree of freedom parameter of the robot’s rotating joint as the control constraint parameter, a hierarchical subdimensional space motion planning model of the robot is established. The binocular vision tracking method is used to realize the adaptive correction of the position and posture of the bionic robot and achieve robust control. The simulation results show that the fitting error of the robot’s end position and pose parameters is low, and the dynamic tracking performance is good when the method is used for the position positioning of control of the bionic robot.
15
Aghazadeh, Fereydoun, Robert Hirschfeld, and Robert Chapleski. "Industrial Robot Use: Survey Results and Hazard Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 14 (October 1993): 994–98. http://dx.doi.org/10.1177/154193129303701413.
Full textAbstract:
Robotic workcells have proliferated in recent years but safety guidance in the area of safety sensing devices has not kept pace. Research investigating current robot use was conducted through safety survey questionnaires returned from 29 robot using corporations across the nation. The research goal was to identify the hazards which workers are exposed to while working near robots. Only 5% of robots were found to have redundant sensing and 40% could not be physically enclosed in barrier perimeters. In addition, personnel were found to enter a robot's work area for 38% of an 8 hour day. Based upon the survey results, a hazard analysis was created to assist in the evaluation of robot workstation safety. The hazard analysis recommends that safety sensors should be integrated in a layered protection system with an external perimeter, an internal workzone area, and a software path monitoring system.
16
Wang, Fuzhe. "Review of the Application Status and Development Trend of Industrial Robots." SHS Web of Conferences 144 (2022): 03005. http://dx.doi.org/10.1051/shsconf/202214403005.
Full textAbstract:
With the progress of industrial civilization and the development of artificial intelligence technology, industrial robots are gradually approaching production workshop, and their status is improving day by day. This article will describe the current development status of emerging industrial robots and share their future development trends, aiming to provide a theoretical basis for industrial robot design departments and factories. Nowadays, industrial robots are developing rapidly in various countries, and have entered many emerging industries, such as aerospace, military and medical fields. The development trend of industrial robots in the future should mainly focus on five development directions: human-robot collaboration, artificial intelligence, new industrial users, digitization, and smaller and lighter robots.
17
Bhati, Akshay. "How the Latest Robots (Cobots) are Safely Powering Industrial Growth: What you need to Know." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1649–55. http://dx.doi.org/10.22214/ijraset.2022.40079.
Full textAbstract:
Abstract: The main topic of this paper is about the transition of traditional industrial robots to collaborative robots. Firstly, the paper starts with an overview of the types of robots which exist in the industry, then the important part of the paper is described by getting into inner details about the collaborative robot’s functionalities by which the collaborative robots are safe to work alongside human beings. Without such safety features and requirements, it is very dangerous to operate such fast moving robots as it will put the lives of humans at stake. This paper will introduce you to a new generation collaborative robot. In the experiment, TM5-700 is used in collaboration with the sick-nanoScan3 (world’s smallest safety scanner in the market) to comply with higher levels of safety standards needed for the application. Keywords: cobot, safety standards, collaborative, robots, risk assessment.
18
Pa, Pai Shan. "Design and Establishment of Platform of Tripedal Industrial Robots." Key Engineering Materials 392-394 (October 2008): 526–31. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.526.
Full textAbstract:
Modern industries use many types of robots. The biped or quadped robots are the most common robots in the robot category. However, in terms of efficiency, flexibility, and stability, the developing tripedal robots could be the best candidate. The research starts from establishing the platform of the tripedal robots. The mathematic model of the tripedal robot is generated by applying the forward kinematics and the inverse kinematics. The research then adopts the MSC Virtual Nastran simulation software to calculate the optimal values applied to the tripedal robots for verification. The major issue is about the balance of the static stability and dynamic stability. The research also tries to develop the most power-saving method and the largest moving steps. The platform of the tripedal robot will become a significant design reference for the commercialization of different industrial robots, and it will provide the design of industrial robots with more options and useful applications.
19
Chuangui, Yang, Mi Liang, Liu Xingbao, Xia Yangqiu, Qiang Teng, and Lin Han. "Uncertainty evaluation of measurement of orientation repeatability for industrial robots." Industrial Robot: the international journal of robotics research and application 47, no. 2 (January 2, 2020): 207–17. http://dx.doi.org/10.1108/ir-07-2019-0145.
Full textAbstract:
Purpose This paper aims to propose a reasonable method to evaluate uncertainty of measurement of industrial robots’ orientation repeatability and solve the non-linear problem existing in its evaluation procedure. Design/methodology/approach Firstly, a measurement model of orientation repeatability, based on laser tracker, is established. Secondly, some factors, influencing the measurement result of orientation repeatability, are identified, and their probability distribution functions are modelled. Thirdly, based on Monte Carlo method, an uncertainty evaluation model and algorithm of measurement of industrial robot’s orientation repeatability are built. Finally, an industrial robot is taken as the research object to validate the rationality of proposed method. Findings Results show that the measurement model of orientation repeatability of industrial robot is non-linear, and the proposed method can reasonably and objectively estimate uncertainty of measurement of industrial robots’ orientation repeatability. Originality/value This paper, based on Monte Carlo method and experimental work, proposes an uncertainty evaluation method of measurement of industrial robots’ orientation repeatability which can solve the non-linear problem and provide a reasonable and objective evaluation. And the stochastic ellipsoid approach is firstly taken to model the repeatability of laser tracker. Additionally, this research is beneficial to decide whether the orientation repeatability of the industrial robot meets its requirements.
20
Petrenko, Yuri, and Ruslan Posukan. "CRITERIA AND MODEL OF CHOICE OF INDUSTRIAL ROBOT." Bulletin of Kharkov National Automobile and Highway University 1, no. 92 (January 17, 2021): 109. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.0.109.
Full textAbstract:
Problem. The relevance of the work is to increase the efficiency of robotics in Ukraine based on the development of computer technology for the selection of industrial robots for the enterprise, which will improve the quality of robot selection and increase productivity in all industries. Goal. Substantiate the criteria and develop the mathematical model for the selection of an industrial robot. The proposed mathematical model will allow the development of computer technology for the selection of industrial robots for the enterprise. Methodology. This work gives the analysis of the development of robotics in Ukraine, theoretical material on industrial robots, substantiated the criteria for the selection of industrial robots, the developed mathematical model for the selection of robots. Results. The developed criteria and mathematical model of an industrial robot selection allow making scientifically substantiated decisions on the acquisition of an industrial robot by an enterprise according to many criteria. This will reduce the time and cost of making a decision. Originality. Was received further development of making decision methods according to many criteria an was developed the mathematical model of the industrial robot selection. Practical value. The proposed mathematical model will allow the development of computer technology for the selection of industrial robots for the enterprise. This will reduce spent time and money to choose a robot.
21
Wang, Zinan. "Research on force feedback technology for industrial robot." Applied and Computational Engineering 126, no. 1 (January 13, 2025): 125–30. https://doi.org/10.54254/2755-2721/2025.20105.
Full textAbstract:
Force feedback technology plays a crucial role in the field of robot control, especially in scenarios involving precise task execution. With the increasing application of robots in industrial production and automation, traditional control methods based on preset paths can no longer meet the requirements of complex and changing working environments. The force feedback system senses the force information of the robot during operation, adjusts the robot's actions and force in real time, ensures that appropriate force can be maintained during operation, and prevents damage to the working object or reduced task accuracy. While this technology primarily enhances robotic flexibility in complex operations, it has also become instrumental in advancing human-robot collaboration. By combining human perception and regulation abilities, robots are able to perform more challenging tasks. In recent years, force feedback systems that combine multi-sensor fusion, visual control, and remote operation technologies have gradually become one of the core solutions for solving force control problems in robot task execution, providing strong guarantees for safety, accuracy, and efficiency in automated production.
22
Ma, Jinglin. "Industrial applications of collaborative robots." Applied and Computational Engineering 117, no. 1 (January 15, 2025): 58–65. https://doi.org/10.54254/2755-2721/2025.20115.
Full textAbstract:
With the advent of the Industry 4.0 era, the application of collaborative robots (cobots) in industrial fields has greatly increased. Intelligent collaborative robots or smart cobots enable high flexibility by combining the human ability to adapt to new tasks with automated robots (precision, repeatability) performance. This paper will analyze the current application status and usage of collaborative robots in the various industrial fields, and its benefits and disadvantages from the discussion. Firstly, this paper the defines collaborative robots and explains the difference between cobots and traditional industrial robots. Then, it analyzes the specific application cases of collaborative robots in automotive manufacturing, electronics and electrical appliances, food and beverage, pharmaceutical and chemical industries. Subsequently, this paper introduces the main technologies linked to collaborative robots, including sensors, Human-Robot Interaction (HRI), machine learning and safety technologies. Through the study of actual application cases, this paper summarizes the significant advantages of collaborative robots to improve productivity, reduce costs, and optimize the working environment. Meanwhile, this paper also discusses the current technical challenges, regulatory and standard issues as well as marketing difficulties for collaborative robots, and looks at future development trends and research directions. The results demonstrate that the utilization of collaborative robots in industry has a promising future and research and practical significance as well
23
Reddy, B. Nithin. "Mechanical Design and Analysis of Six-Degree-of-Freedom (6-DOF) SCARA Robot for Industrial Applications." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 6080–87. http://dx.doi.org/10.22214/ijraset.2024.59008.
Full textAbstract:
Abstract: A six-degree-of-freedom (6-DOF) SCARA robot is an advanced robotic system capable of moving and manipulating objects in a three-dimensional space with a high degree of precision and flexibility. The term "SCARA" stands for "Selective Compliance Articulated Robot Arm," indicating its design that allows a combination of rigidity and compliance along specific axes. This unique combination of features makes 6-DOF SCARA robots highly versatile and suitable for a wide range of industrial applications. Unlike traditional SCARA robots that typically have four degrees of freedom, the addition of two extra degrees of freedom enhances the 6-DOF SCARA robot's spatial reach and manipulation capabilities. This enables the robot to perform tasks that require complex orientations, intricate movements, and precise positioning within a 3D workspace. The mechanical design, kinematics, and control strategies of these robots are carefully developed to ensure accurate and efficient performance, making them valuable tools in various industries. 6-DOF SCARA robots find applications in numerous industries where precise manipulation, efficient automation, and versatile positioning are crucial.
24
MA*, Lialestani, and Aghdasighaziyani S. "Collaborative Robots: Human-Robots Coexistence in Industrial Environments." Advances in Robotic Technology 2, no. 1 (January 19, 2024): 1–8. https://doi.org/10.23880/art-16000120.
Full textAbstract:
The fourth industrial revolution, with the emergence of artificial intelligence and robotics, is transforming various industries, including the manufacturing industry. Robots are increasingly replacing repetitive and dangerous tasks and helping humans to do more complex and creative tasks. Meanwhile, a new generation of robots called collaborative robots are emerging that can work alongside humans in industrial environments. In industrial environments, the coexistence of humans and robots brings many challenges that require appropriate and efficient solutions. One of the most important challenges in this field is to create coordination and cooperation between humans and robots. Humans and robots are two beings with different structures and capabilities that require effort and the intersection of their abilities to achieve greater productivity and efficiency. In addition, the issue of human security and protection in the presence of robots is also one of the important challenges that should be given special attention. In general, the coexistence of humans and robots in industrial environments requires careful planning, proper training, and the use of advanced technologies to solve problems and improve performance.
25
Zhang, Haotian. "Classification Of Robots and Industrial and Medical Applications." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 655–62. http://dx.doi.org/10.54097/tvdzzc02.
Full textAbstract:
In the last 100 years, robots have evolved from fantasy to reality. Their design, research, and manufacture require the combination of various subjects such as CS, EEE, ME, AI, and others. The main objective is to replace humans in performing heavy or impossible tasks. Robots are classified into different categories based on their era and usefulness. This thesis will analyze industrial robots in terms of their basic stress conditions and activity scope with four degrees of freedom for the normal robot arm. The system architecture, various field interactions, and structure of mechanical fingers for human-like robot arms will also be analyzed. Additionally, this paper will examine the usefulness of service industry robots and highlight the exoskeleton robot for medical treatment by analyzing the forces, torques, and displacements during the walking of patients with lower limb disabilities. The interaction force between humans and exoskeleton robots will be calculated and a model will be constructed. Finally, some difficulties and possible solutions will be presented.
26
Gao, Guan Bin, Jian Lu, and Jian Jun Zhou. "Kinematic Modeling for a 6-DOF Industrial Robot." Advanced Materials Research 590 (November 2012): 471–74. http://dx.doi.org/10.4028/www.scientific.net/amr.590.471.
Full textAbstract:
The kinematic model of robots is to describe the nonlinear relationship between the displacement of joints and the position and orientation of the end-effector, which is an important part of robotics. Kinematic model has great influence on the robot’s accuracy and motion control. In this paper, we studied the robot’s kinematic modeling methods and analyzed the characteristics and singularity of traditional DH method. By analyzing and comparing the structural characteristics of a 6-DOF industrial robot a MDH method was chosen to establish kinematic model. From the kinematic model the joint coordinate systems, structural parameters and homogeneous transformation matrixes of the robot are obtained. The kinematic model provides a theoretical basis for the robot motion control, calibration and error compensation.
27
Wu, Kai, Jiaquan Li, Huan Zhao, and Yong Zhong. "Review of Industrial Robot Stiffness Identification and Modelling." Applied Sciences 12, no. 17 (August 30, 2022): 8719. http://dx.doi.org/10.3390/app12178719.
Full textAbstract:
Due to their high flexibility, large workspace, and high repeatability, industrial robots are widely used in roughing and semifinishing fields. However, their low machining accuracy and low stability limit further development of industrial robots in the machining field, with low stiffness being the most significant factor. The stiffness of industrial robots is affected by the joint deformation, transmission mechanism, friction, environment, and coupling of these factors. Moreover, the stiffness of a robot has a nonlinear distribution throughout the workspace, and external forces during processing cause irregular deviations of the robot, thereby affecting the machining accuracy and surface quality of the workpiece. Many scholars have researched identifying the stiffness of industrial robots and have proposed methods for improving the performance of industrial robots, mainly by optimizing the body structure of the robot and compensating for deformation errors with stiffness models. This paper reviews recent research on the stiffness modelling of industrial robots, which can be broadly classified as finite element analysis (FEA), matrix structure analysis (MSA), and virtual joint modelling (VJM) methods. Each method is studied from three aspects: algorithms, implementation, and limitations. In addition, common measurement techniques have been introduced for measuring deformation. Further research directions are also discussed.
28
Gong, Chi, Xianghui Yang, Hongru Tan, and Xiaoye Lu. "Industrial Robots, Economic Growth, and Sustainable Development in an Aging Society." Sustainability 15, no. 5 (March 4, 2023): 4590. http://dx.doi.org/10.3390/su15054590.
Full textAbstract:
The impact of industrial robots and aging on economic growth is analyzed using both theoretical and empirical models in this paper. An aging mechanism is integrated into the task model and Solow model, which integrates the existing relationship between industrial robots and economic growth. Our data come from the International Robot Federation, Penn World Table, and the World Bank, and we obtain robot usage data and macroeconomic data for 77 countries and regions between 1993 and 2019. We found that industrial robots can stimulate economic growth, but aging does not affect it. It is worth noting that aging has more adverse effects on economies using industrial robots than economies without industrial robots. Further, according to mechanism analysis, the main channel of economic growth is industrial robots replacing labor, followed by improving total factor productivity (TFP), a measure of technological change in an economy. Given endogenous problems, the results are still stable.
29
Zhou, Zhenxiang. "A Study on the Impact of Industrial Robot Development on the Economy A Case Study of China." Advances in Economics, Management and Political Sciences 58, no. 1 (November 20, 2023): 121–28. http://dx.doi.org/10.54254/2754-1169/58/20230870.
Full textAbstract:
The impact of industrial robot development on the economy has long been a subject of keen interest. This research aims to explore the role of industrial robots in the Chinese economy and the factors influencing their impact. This is achieved through an analysis of the scale of the industrial robot market, its applications, the localization process, and its effects on employment and production efficiency. In the course of this study, we review the rapid growth of the Chinese manufacturing sector and the increasing adoption of industrial robots. With technological advancements, industrial robots have achieved significant milestones in fields such as automobile manufacturing and electronics production. Subsequently, this paper delves into the repercussions of industrial robots on the Chinese economy. Data indicates that the widespread use of industrial robots has significantly enhanced production efficiency, lowered production costs, and improved product quality. Furthermore, the paper scrutinizes the progress of domestication in the industrial robot sector, highlighting China's positive strides in enhancing its capacity for independent research and development, as well as manufacturing. Consequently, the rapid development of industrial robots has exerted a multifaceted impact on the Chinese economy, fostering both production efficiency and industrial upgrading, while also giving rise to a series of employment and societal issues. In the future, China should continue to intensify its efforts in technological innovation and talent development to better address the challenges and opportunities arising from the development of industrial robots, thereby promoting sustained and healthy economic growth.
30
Schou, Casper, and Ole Madsen. "A plug and produce framework for industrial collaborative robots." International Journal of Advanced Robotic Systems 14, no. 4 (July 1, 2017): 172988141771747. http://dx.doi.org/10.1177/1729881417717472.
Full textAbstract:
Collaborative robots are today ever more interesting in response to the increasing need for agile manufacturing equipment. Contrary to traditional industrial robots, collaborative robots are intended for working in dynamic environments alongside the production staff. To cope with the dynamic environment and workflow, new configuration and control methods are needed compared to those of traditional industrial robots. The new methods should enable shop floor operators to reconfigure the robot. This article presents a plug and produce framework for industrial collaborative robots. The article focuses on the control framework enabling quick and easy exchange of hardware modules as an approach to achieving plug and produce. To solve this, an agent-based system is proposed building on top of the robot operating system. The framework enables robot operating system packages to be adapted into agents and thus supports the software sharing of the robot operating system community. A clear separation of the hardware agents and the higher level task control is achieved through standardization of the functional interface, a standardization maintaining the possibility of specialized function features. A feasibility study demonstrates the validity of the framework through a series of reconfigurations performed on a modular collaborative robot.
31
Moradi Dalvand, Mohsen, and Saeid Nahavandi. "Teleoperation of ABB industrial robots." Industrial Robot: An International Journal 41, no. 3 (May 13, 2014): 286–95. http://dx.doi.org/10.1108/ir-09-2013-400.
Full textAbstract:
Purpose – The purpose of this paper is to analyse teleoperation of an ABB industrial robot with an ABB IRC5 controller. A method to improve motion smoothness and decrease latency using the existing ABB IRC5 robot controller without access to any low-level interface is proposed. Design/methodology/approach – The proposed control algorithm includes a high-level proportional-integral-derivative controller (PID) controller used to dynamically generate reference velocities for different travel ranges of the tool centre point (TCP) of the robot. Communication with the ABB IRC5 controller was performed utilising the ABB PC software development kit. The multitasking feature of the IRC5 controller was used to enhance the communication frequency between the controller and the remote application. Trajectory tracking experiments of a pre-defined three-dimensional trajectory were carried out and the benefits of the proposed algorithm were demonstrated. The robot was intentionally installed on a wobbly table and its vibrations were recorded using a six-degrees-of-freedom force/torque sensor fitted to the tool mounting interface of the robot. The robot vibrations were used as a measure of the smoothness of the tracking movements. Findings – A communication rate of up to 250 Hz between the computer and the controller was established using C# .Net. Experimental results demonstrating the robot TCP, tracking errors and robot vibrations for different control approaches were provided and analysed. It was demonstrated that the proposed approach results in the smoothest motion with tracking errors of < 0.2 mm. Research limitations/implications – The proposed approach may be employed to produce smooth motion for a remotely operated ABB industrial robot with the existing ABB IRC5 controller. However, to achieve high-bandwidth path following, the inherent latency of the controller must be overcome, for example by utilising a low-level interface. It is particularly useful for applications including a large number of short manipulation segments, which is typical in teleoperation applications. Social implications – Using the proposed technique, off-the-shelf industrial robots can be used for research and industrial applications where remote control is required. Originality/value – Although low-level control interface for industrial robots seems to be the ideal long-term solution for teleoperation applications, the proposed remote control technique allows out-of-the-box ABB industrial robots with IRC5 controllers to achieve high efficiency and manipulation smoothness without requirements of any low-level programming interface.
32
Karnik, Ajit M., and Naresh K. Sinha. "Adaptive control of an industrial robot." Robotica 4, no. 4 (October 1986): 243–46. http://dx.doi.org/10.1017/s0263574700009929.
Full textAbstract:
SUMMARYFor the past several years, industrial robots are being used extensively. These robots are generally equipped with relatively simple control systems. Such control systems have proved adequate, but with increased demand on robot performance, there is need for advanced and sophisticated controllers. One of the probelms in the control of robots is that system dynamics change due to several factors such as the orientation of arms and their effective inertia.Adaptive controllers have the advantage that the system is continuously modelled and controller parameters are evaluated on-line, thus resulting in superior performance. Adaptive controllers can be realized in several ways.This paper describes the design and performance of an explicit self tuning regulator for a robot arm.
33
Jánoš, Rudolf, and Dobiaš Dominik. "DESIGN OF INDUSTRIAL ROBOT WITH INCREASED LOCOMOTION." TECHNICAL SCIENCES AND TECHNOLOG IES, no. 4 (14) (2018): 95–100. http://dx.doi.org/10.25140/2411-5363-2018-4(14)-95-100.
Full textAbstract:
Urgency of the research. One of the top trends in the field of mechanical engineering is automation. An inherent part of automation in today's businesses is industrial robots of various categories. In today's industrial production, human and robot are usually separated from each other in order to avoid potential collisions. Continuous development and the growing trend of robotics, in order to increase competitiveness, abandons this individual and isolated robot deployment and prevents group-building of human-robot workplaces. Target setting. The reason for designing industrial robots with capacity around 5-10kg according to human anatomy is that the transition from semi-automated production (operating lines controlled by operators) to fully automated production requires industrial robots that have dimensions similar to human anatomy. Actual scientific researches and issues analysis. The current production of robot devices reaches a high technical level, which is further enhanced by the continued development of their subsystems, but also by the upgrading of functional principles and elements that are involved in the architecture and morphology of these devices. The research objective. To what extent is it possible for the work process to be mechanized or automated depends also on the level of development of the used equipment. In today's development stage, design of automated device is also automated. The statement of basic materials: From the point of view of approaching the design of robots systems means a common sign is a mechatronic approach. Robots technical devices are a typical product with all the features of mechatronics (linking knowledge of engineering, management methods and artificial intelligence). This becomes the starting point for the elaboration of the methods of designing robots at all. Conclusions. This article focuses on the design of the robotics devices, whose main task is to perform the assembly. The future of deploying human-robot collaboration has enormous boundaries and many variables that still need to be addressed. It is important to remember that this technology is not about replacing people with robots. Rather, it is about using robust human features and robot strengths to achieve a new level of efficiency and productivity that could not be achieved by self-employment.
34
Chen, Qiang. "Research on Safety Control Technology for Dual Robots Based on Kinematic Models." Automation, Control and Intelligent Systems 12, no. 1 (July 29, 2024): 15–21. http://dx.doi.org/10.11648/j.acis.20241201.12.
Full textAbstract:
The industrial robots play an important role in modern industrial manufacturing processes, and their applications are becoming increasingly widespread, greatly improving manufacturing efficiency and significantly enhancing the digitalization level of the manufacturing industry. Therefore, achieving safe control of multi robot collaborative work is of great significance for the stable and efficient operation of robot systems. This article proposes a dual robot safety control technology based on the kinematic model of industrial robots. Firstly, a mathematical model of the kinematic space of the dual robots is constructed using D-H parameters; Then, use recursive traversal algorithm to calculate the minimum distance between each joint arm of the two robots in real time; Finally, the minimum distance between each joint arm will be calculated and compared with the set safety threshold to achieve real-time assessment and control of collision risk during the movement of the dual robots. A dual robot safety control testing platform was built using two KUKA industrial robots, integrated control software was developed, and relevant algorithms were validated. Through experiments, it was verified that this method can evaluate the collision risk of dual robots in real time during motion and effectively control the collision risk during the motion of dual robots.
35
Zhang, Zijie, and Jing Zeng. "A Review on Development and Application of Industrial Robot." Academic Journal of Science and Technology 2, no. 2 (August 8, 2022): 78–81. http://dx.doi.org/10.54097/ajst.v2i2.1165.
Full textAbstract:
Stability, efficiency and practicality are important characteristics of industrial robots. This also enables it to well assist human beings in carrying out various complex, tedious and dangerous processes. Nowadays, with the changing international situation, the advanced level of industrial robot technology has increasingly become the standard to distinguish the industrial strength gap between big countries. Therefore, it is necessary to analyze the development and application of industrial robots in detail. This paper first summarizes the development status of industrial robots at home and abroad, and introduces the typical applications of industrial robots in different industries. Finally, it makes a prospect for the development of domestic industrial robots.
36
Iusupova, A. I., V. V. Titov, and A. V. Sergeev. "Industrial Robot Remote Control using Virtual Reality Interfaces." Mekhatronika, Avtomatizatsiya, Upravlenie 25, no. 6 (June 6, 2024): 306–14. http://dx.doi.org/10.17587/mau.25.306-314.
Full textAbstract:
Industrial robots performing complex operations often require remote control. The operator must have access to configure the robot behavior, set operations, simulate operation execution before execution, synchronize robot and its digital model state, change the control mode if necessary. Virtual reality interfaces allow to control robots interactively and perform all the operations described above. The article proposes an implementation of a control system based on virtual reality interfaces, which allows real-time control of an industrial robot. The proposed solution has been tested on two robots and includes a universal (iterative) inverse kinematics solver, a trajectory planner, a tasks scheduler, supports work in master-slave and trajectory modes.
37
Zhang, Xiguang. "Analysis of Core Technology Problems and Countermeasures in the Robot Industry." Journal of Electronic Research and Application 5, no. 6 (November 30, 2021): 19–24. http://dx.doi.org/10.26689/jera.v5i6.2800.
Full textAbstract:
Since 2013, China has been the world’s largest market for industrial robots. Despite the gradual maturity of the industrial robot system, the lagging R&D and backward technology level of industrial robots have led to a strong dependence on the import of core components and key technologies, which to a certain extent has restricted the development and improvement of industrial robots. At present, the “neck problem” in the field of industrial robots in China is not only in the reducer, controller, and servo but also in the basic processing equipment, basic technology, and basic materials. In this paper, we propose measures to improve the “neck problem” of industrial robots to promote the high-quality development of industrial robots in China.
38
Maurtua, Iñaki, Aitor Ibarguren, Johan Kildal, Loreto Susperregi, and Basilio Sierra. "Human–robot collaboration in industrial applications." International Journal of Advanced Robotic Systems 14, no. 4 (July 1, 2017): 172988141771601. http://dx.doi.org/10.1177/1729881417716010.
Full textAbstract:
Human–robot collaboration is a key factor for the development of factories of the future, a space in which humans and robots can work and carry out tasks together. Safety is one of the most critical aspects in this collaborative human–robot paradigm. This article describes the experiments done and results achieved by the authors in the context of the FourByThree project, aiming to measure the trust of workers on fenceless human–robot collaboration in industrial robotic applications as well as to gauge the acceptance of different interaction mechanisms between robots and human beings.
39
Zhou, Guanghong. "Human-Machine Cooperation and Path Planning for Complex Road Conditions." Scientific Programming 2021 (July 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/7262281.
Full textAbstract:
With the rapid development of the information age, the development of industrial robots is also advancing by leaps and bounds. In the scenes of automobile, medicine, aerospace, and public service, we have fully enjoyed the convenience brought by industrial robots. However, with the continuous development of industrial robot-related concepts and technologies, human-computer interaction and cooperation have become the development trend of industrial robot. In this paper, the human-machine cooperation and path optimization of industrial robot in a complex road environment are studied and analyzed. At the theoretical modeling level, firstly, the industrial robot is modeled and obstacle avoidance is analyzed based on the kinematics of industrial robot; thus, an efficient and concise collision detection model of industrial robot is proposed. At the algorithm level, in view of the complex road conditions faced by industrial robots, this paper will study and analyze the obstacle avoidance strategy of human-computer cooperation and real-time path optimization algorithm of industrial robots. Based on the virtual target point algorithm, this paper further improves the problem that the goal of the traditional path planning algorithm cannot be fully covered, so as to propose the corresponding improved path planning algorithm of industrial robots. In the experimental part, based on the existing industrial robot system, the human-machine cooperation and path planning system proposed in this paper are designed. The experimental results show that the algorithm proposed in this paper improves the accuracy of obstacle avoidance by about 10 points and the corresponding convergence speed by about 5% compared with the traditional algorithm and the experimental effect is remarkable.
40
Amiri, Peyman, Marcus Müller, Matthew Southgate, Theodoros Theodoridis, Guowu Wei, Mike Richards-Brown, and William Holderbaum. "A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots." Journal of Manufacturing and Materials Processing 8, no. 5 (September 30, 2024): 216. http://dx.doi.org/10.3390/jmmp8050216.
Full textAbstract:
This paper aims to elucidate the state-of-the-art, prevailing priorities, and the focus of the industry, and identify both limitations and potential gaps regarding industrial robots and collaborative robots (cobots). Additionally, it outlines the advantages and disadvantages of cobots compared to traditional industrial robots. Furthermore, three novel factors are introduced in this survey as metrics to evaluate the efficiency and performance of industrial robots and cobots. To achieve these purposes, a statistical analysis and review of commercial articulated industrial robots and cobots are conducted based on their documented specifications, such as maximum payload, weight, reach, repeatability, average maximum angular speed, and degrees of freedom (DOF). Additionally, the statistical distributions of the efficiency factors are investigated to develop a systematic method for robot selection. Finally, specifications exhibiting strong correlations are compared in pairs using regressions to find out trends and relations between them, within each company and across them all. The investigation of the distribution of specifications demonstrates that the focus of the industry and robot makers is mostly on articulated industrial robots and cobots with higher reach, lower payload capacity, lower weight, better repeatability, lower angular speed, and six degrees of freedom. The regressions reveal that the weight of robots increases exponentially as the reach increases, primarily due to the added weight and torque resulting from the extended reach. They also indicate that the angular speed of robots linearly decreases with increasing reach, as robot manufacturers intentionally reduce the angular speed through reductive gearboxes to compensate for the additional torque required as the reach extends. The trends obtained from the regressions explain the reasons behind these interrelationships, the design purpose of robot makers, and the limitations of industrial robots and cobots. Additionally, they help industries predict the dependent specifications of articulated robots based on the specifications they require. Moreover, an accompanying program has been developed and uploaded on to GitHub, taking the required specifications and returning a list of proper and efficient robots sourced from different companies according to the aforementioned selection method.
41
OH, SE-YOUNG, WEON-CHANG SHIN, and HYO-GYU KIM. "NEURAL NETWORK BASED DYNAMIC CONTROLLERS FOR INDUSTRIAL ROBOTS." International Journal of Neural Systems 06, no. 03 (September 1995): 257–71. http://dx.doi.org/10.1142/s0129065795000196.
Full textAbstract:
The industrial robot’s dynamic performance is frequently measured by positioning accuracy at high speeds and a good dynamic controller is essential that can accurately compute robot dynamics at a servo rate high enough to ensure system stability. A real-time dynamic controller for an industrial robot is developed here using neural networks. First, an efficient time-selectable hidden layer architecture has been developed based on system dynamics localized in time, which lends itself to real-time learning and control along with enhanced mapping accuracy. Second, the neural network architecture has also been specially tuned to accommodate servo dynamics. This not only facilitates the system design through reduced sensing requirements for the controller but also enhances the control performance over the control architecture neglecting servo dynamics. Experimental results demonstrate the controller’s excellent learning and control performances compared with a conventional controller and thus has good potential for practical use in industrial robots.
42
Yahlinskyi, Viktor, Serhii Hutyrуa, Yuriy Khomiak, and Viktor Belikov. "GENERALIZED CRITERIA FOR LOADING CAPACITY OF INDUSTRIAL ROBOTS." Bulletin of the National Technical University «KhPI» Series: Engineering and CAD, no. 2 (December 30, 2021): 135–42. http://dx.doi.org/10.20998/2079-0775.2021.2.15.
Full textAbstract:
The analysis of the correspondence of the set of functional indicators of industrial robots to the criteria of criteria similarity conditions is carried out. Using the methods of the theory of dimensions, criteria for the similarity of the functional properties of carrying capacity, speed-action and dynamism of industrial robots in terms of rotational and translational degrees of mobility have been determined. The necessary set of criteria has been created and a concept has been proposed for determining the generalized criterion complexes of the load capacity for modules, aggregates and the entire structure of the robot as a whole using the method of defragmentation and averaging the corresponding criteria by degrees of mobility. The proposed performance criterion makes it possible to compare the performance of a group of robots in terms of three kinematic indicators: speed, acceleration and the range of permissible displacements. For robots of light load capacity, the technical evolution of the considered criterion complexes is presented. It is noticed that with an increase in the reach of the robot, the criterion of load-carrying capacity for all robots decreases. The developed criteria make it possible to assess the speed action and loading capacity of a robot of any design and can be used to determine the technical level of robots and identify reserves for increasing it. Key words: degrees of mobility; manipulation system; homogeneous functions; dynamic parameters
43
Tao, Yong, Haitao Liu, Shuo Chen, Jiangbo Lan, Qi Qi, and Wenlei Xiao. "An Off-Line Error Compensation Method for Absolute Positioning Accuracy of Industrial Robots Based on Differential Evolution and Deep Belief Networks." Electronics 12, no. 17 (September 2, 2023): 3718. http://dx.doi.org/10.3390/electronics12173718.
Full textAbstract:
Industrial robots have been increasingly used in the field of intelligent manufacturing. The low absolute positioning accuracy of industrial robots is one of the difficulties in their application. In this paper, an accuracy compensation algorithm for the absolute positioning of industrial robots is proposed based on deep belief networks using an off-line compensation method. A differential evolution algorithm is presented to optimize the networks. Combined with the evidence theory, a position error mapping model is proposed to realize the absolute positioning accuracy compensation of industrial robots. Experiments were conducted using a laser tracker AT901-B on an industrial robot KR6_R700 sixx_CR. The absolute position error of the end of the robot was reduced from 0.469 mm to 0.084 mm, improving the accuracy by 82.14% after the compensation. Experimental results demonstrated that the proposed compensation algorithm could improve the absolute positioning accuracy of industrial robots, as well as its potential uses for precise operational tasks.
44
Zhang, Zhaozhong, and Fangfang Deng. "How can artificial intelligence boost firms’ exports? evidence from China." PLOS ONE 18, no. 8 (August 23, 2023): e0283230. http://dx.doi.org/10.1371/journal.pone.0283230.
Full textAbstract:
This paper explores the impact of artificial intelligence and industrial robots on firms’ export behaviour and divides the impact mechanism into the productivity effect and labour substitution effect. It examines the effect of industrial robots on firms’ export value by using Chinese Customs data, Chinese Industrial Firm data and robot data from the International Robot Federation (IRF). The main findings are as follows: Firstly, the impact of artificial intelligence and industrial robots on Chinese firms’ export value is generally negative, which means the negative labour substitution effect dominates the positive productivity effect. Secondly, the impact of artificial intelligence varies significantly by industry, and the export value of firms from high-tech industries benefits from the use of industrial robots. Thirdly, the impact of artificial intelligence on firms’ export value also varies by time; before 2003, the use of industrial robots showed mainly an inhibiting effect on firms’ exports, which turned into a driving effect thereafter, and after 2006, industrial robots began to significantly promote firms’ export. Finally, the higher the quality of export products, the more likely the use of industrial robots will be to promote firms’ export value, and the higher the capital–labour ratio is, the more likely firms’ export value will be to benefit from the use of artificial intelligence and industrial robots. On the basis of these findings, this study proposes promoting the productivity effect to dominate the labour substitution effect through technological progress and the improvement of export product quality.
45
Tripathi, Sudha. "Engineering the Future: Robotics in the Automotive Industry Explained." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (October 22, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem38079.
Full textAbstract:
The study provides an overview of the potential applications of industrial robots in the automobile sector, which is now the market's most significant client. An overview of the use of robots in global industry is provided in the first section of the article, which also discusses the state of industrial robot utilization. The most popular uses of robots, particularly in the automotive sector, are covered later, along with developments and outlooks for the field's future. The essay concluded with a specific project overview regarding robotized screw tightening on the car seat production line, which served as a model task from actual industrial practice.The many uses of robots in the automobile industry are examined in this review, including material handling, welding, painting, assembly line automation, and quality control. It emphasizes how collaborative robots (cobots) enhance human-robot interaction and how advances in machine learning and artificial intelligence maximize robotic performance. Keywords: Industrial robot; robotics in automotive; production of passenger cars; transport and production; automated assembly line
46
Çiğdem, Şemsettin, Ieva Meidute-Kavaliauskiene, and Bülent Yıldız. "Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees." Logistics 7, no. 1 (March 15, 2023): 17. http://dx.doi.org/10.3390/logistics7010017.
Full textAbstract:
Background: Human–robot collaboration is essential for efficient manufacturing and logistics as robots are increasingly used. Using industrial robots as part of an automation system results in many competitive benefits, including improved quality, efficiency, productivity, and reduced waste and errors. When robots are used in production, human coworkers’ psychological factors can disrupt operations. This study aims to examine the effect of employees’ negative attitudes toward robots on their acceptance of robot technology in manufacturing workplaces. Methods: A survey was conducted with employees in manufacturing companies to collect data on their attitudes towards robots and their willingness to work with them. Data was collected from 499 factory workers in Istanbul using a convenience sampling method, which allowed for the measurement of variables and the analysis of their effects on each other. To analyze the data, structural equation modeling was used. Results: The results indicate that negative attitudes towards robots have a significant negative effect on the acceptance of robot technology in manufacturing workplaces. However, trust in robots was found to be a positive predictor of acceptance. Conclusions: These findings have important implications for manufacturing companies seeking to integrate robot technology into their operations. Addressing employees’ negative attitudes towards robots and building trust in robot technology can increase the acceptance of robots in manufacturing workplaces, leading to improved efficiency and productivity.
47
Roesler, Eileen, Linda Onnasch, and Julia I. Majer. "The Effect of Anthropomorphism and Failure Comprehensibility on Human-Robot Trust." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 107–11. http://dx.doi.org/10.1177/1071181320641028.
Full textAbstract:
The application of anthropomorphic features to robots is generally considered to be beneficial for human- robot interaction. Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-robot interaction, as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust is examined. Participants interacted with a robot, which was either anthropomorphically or technically designed and experienced either a comprehensible or an incomprehensible fault of the robot. Unexpectedly, the robot was perceived as less reliable in the anthropomorphic condition. Additionally, trust increased after faultless experience and decreased after failure experience independently of the type of error. Even though the manipulation of the design did not result in a different perception of the robot’s anthropomorphism, it still influenced the formation of trust. The results emphasize that anthropomorphism is no universal remedy to increase trust, but highly context dependent.
48
Uchiyama, Naoki, Shigenori Sano, and Akihiro Yamamoto. "Sound source tracking considering obstacle avoidance for a mobile robot." Robotica 28, no. 7 (January 18, 2010): 1057–64. http://dx.doi.org/10.1017/s0263574709990919.
Full textAbstract:
SUMMARYSound source tracking is an important function for autonomous robots, because sound is omni-directional and can be recognized in dark environment. This paper presents a new approach to sound source tracking for mobile robots using auditory sensors. We consider a general type of two-wheeled mobile robot that has wide industrial applications. Because obstacle avoidance is also an indispensable function for autonomous mobile robots, the robot is equipped with distance sensors to detect obstacles in real time. To deal with the robot's nonholonomic constraint and combine information from the auditory and distance sensors, we propose a model reference control approach in which the robot follows a desired trajectory generated by a reference model. The effectiveness of the proposed method is confirmed by experiments in which the robot is expected to approach a sound source while avoiding obstacles.
49
Xu, Ling Ping, and Chang Dong Wang. "Preparation of Control Programs for Material Handling Robot." Applied Mechanics and Materials 602-605 (August 2014): 1019–22. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1019.
Full textAbstract:
With more and more industrial robots used in machinery manufacturing enterprises, mechatronics career groups have also put forward higher requirements for vocational students to become familiar with industrial robots. This paper takes handling robots as an example to introduce how to prepare the robot programs for certain tasks and how to use robots to complete the tasks.
50
LITSIN, K. V., and YA V. MAKAROV. "DEVELOPMENT OF A DIGITAL TWIN OF MOTOMAN MH-50 INDUCTRIAL ROBOT-MANIPULATOR FOR WELDING OPERATIONS OF COMPLEX STRUCTURES." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 78, no. 6 (July 29, 2022): 522–28. http://dx.doi.org/10.32339/0135-5910-2022-6-522-528.
Full textAbstract:
At the present time automatic welding machines are used for welding operations in the production of electric-welded pipes. However, industrial robots are used when welding complex structures consist of pipes of different diameters and bending radius. Unlike welding machines, robots move according to a set coordinate, thus making it possible to obtain welding constructions that “classical” welding machines are not able to perform or require considerable time for their readjustment. Moreover, welding robots-manipulators can perform additional operations: pre-cleaning of the joint, weld preparation and cleaning from dirt. Methods of setting (setting coordinates) of welding robots-manipulators are considered. It was noted that when making settings on the robot's panel it is necessary to stop the technological process, therefore a more rational way is the preliminary imitation of the welding process by using a digital twin of an industrial robot. Using of digital twins of robots-manipulators is often connected with serious financial expenses, therefore development on the basis of the simplified mathematical model of the digital twin is actual, that allows fulfilling the technological process of welding of new kinds of difficult designs by virtual way. Here is a description of a digital twin of an industrial robot-manipulator Yaskawa Motoman MH50-35, developed in Matlab Simulink environment. The main task of developing the digital twin was to create a system of automatic control of the rotation angle on the basis of the position regulator. The elaborated digital twin was tested; the accuracy of processing the wrist rotation assignment is +-0.0001 rad, there is no position overshoot, and the time of a full wrist revolution reaches 1.07 s. The possibility has been shown to use the developed twin as a digital twin of an industrial welding robot taking into account the accepted assumptions.