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Journal articles on the topic 'Industrial Robotics'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 July 2024

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1

Studley, Matthew, and Alan Winfield. "ELSA in Industrial Robotics." Current Robotics Reports 1, no. 4 (August 18, 2020): 179–86. http://dx.doi.org/10.1007/s43154-020-00027-0.

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Abstract Purpose of Review Industry is changing; converging technologies allow a fourth Industrial Revolution, where it is envisaged that robots will work alongside humans. We investigate how the research community is responding to the ethical, legal, and social aspects of industrial robots, with a primary focus on manufacturing industry. Recent Findings The literature shows considerable interest in the impact of robotics and automation on industry. This interest spans many disciplines, which is to be expected given that the ELS impacts of industrial robotics may be profound in their depth and far-reaching in their scope. Summary We suggest that the increasing importance of human-robot interaction (HRI) reduces the differentiation between industrial robotics and other robotic domains and that the main challenges to successful adoption for the benefit of human life are above all political and economic. Emerging standards and legal frameworks may scaffold this success, but it is apparent that getting it wrong might have repercussions that last for generations.

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Fu, Junling, Alberto Rota, Shufei Li, Jianzhuang Zhao, Qingsheng Liu, Elisa Iovene, Giancarlo Ferrigno, and Elena De Momi. "Recent Advancements in Augmented Reality for Robotic Applications: A Survey." Actuators 12, no. 8 (August 13, 2023): 323. http://dx.doi.org/10.3390/act12080323.

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Robots are expanding from industrial applications to daily life, in areas such as medical robotics, rehabilitative robotics, social robotics, and mobile/aerial robotics systems. In recent years, augmented reality (AR) has been integrated into many robotic applications, including medical, industrial, human–robot interactions, and collaboration scenarios. In this work, AR for both medical and industrial robot applications is reviewed and summarized. For medical robot applications, we investigated the integration of AR in (1) preoperative and surgical task planning; (2) image-guided robotic surgery; (3) surgical training and simulation; and (4) telesurgery. AR for industrial scenarios is reviewed in (1) human–robot interactions and collaborations; (2) path planning and task allocation; (3) training and simulation; and (4) teleoperation control/assistance. In addition, the limitations and challenges are discussed. Overall, this article serves as a valuable resource for working in the field of AR and robotic research, offering insights into the recent state of the art and prospects for improvement.

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3

Olszewski, Mariusz. "Modern Industrial Robotics." Pomiary Automatyka Robotyka 24, no. 1 (March 16, 2020): 5–20. http://dx.doi.org/10.14313/par_235/5.

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4

Monkman, Gareth. "Finland’s industrial robotics." Industrial Robot: An International Journal 21, no. 2 (April 1994): 31–32. http://dx.doi.org/10.1108/eum0000000004148.

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5

Sievers, R. H. "Exploiting industrial robotics." IEEE Transactions on Nuclear Science 37, no. 3 (June 1990): 1432–36. http://dx.doi.org/10.1109/23.57398.

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6

Romanov, A. M. "A review on control systems hardware and software for robots of various scale and purpose. Part 1. Industrial robotics." Russian Technological Journal 7, no. 5 (October 15, 2019): 30–46. http://dx.doi.org/10.32362/2500-316x-2019-7-5-30-46.

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A review of robotic systems is presented. The paper analyzes applied hardware and software solutions and summarizes the most common block diagrams of control systems. The analysis of approaches to control systems scaling, the use of intelligent control, achieving fault tolerance, reducing the weight and size of control system elements belonging to various classes of robotic systems is carried out. The goal of the review is finding common approaches used in various areas of robotics to build on their basis a uniform methodology for designing scalable intelligent control systems for robots with a given level of fault tolerance on a unified component base. This part is dedicated to industrial robotics. The following conclusions are made: scaling in industrial robotics is achieved through the use of the modular control systems and unification of main components; multiple industrial robot interaction is organized using centralized global planning or the use of previously simulated control programs, eliminating possible collisions in working area; intellectual technologies in industrial robotics are used primarily at the strategic level of the control system which is usually non-real time, and in some cases even implemented as a remote cloud service; from the point of view of ensuring fault tolerance, the industrial robots developers are primarily focused on the early prediction of faults and the planned decommissioning of the robots, and are not on highly-avaliability in case of failures; industrial robotics does not impose serious requirements on the dimensions and weight of the control devices.

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Harrison, William, Anthony Downs, and Craig Schlenoff. "The Agile Robotics for Industrial Automation Competition." AI Magazine 39, no. 4 (December 1, 2018): 73–76. http://dx.doi.org/10.1609/aimag.v39i4.2795.

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The Agile Robotics for Industrial Automation Competition (ARIAC) is an annual simulation-based competition initiated in 2017. The competition challenges teams to design industrial robotic system control code to function in a dynamic environment. Each team’s system is faced with challenges such as dropped parts, and must address these challenges and continue to function without operator intervention.

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Aggogeri, Francesco, Nicola Pellegrini, and Claudio Taesi. "Towards Industrial Robots’ Maturity: An Italian Case Study." Robotics 13, no. 3 (March 3, 2024): 42. http://dx.doi.org/10.3390/robotics13030042.

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This paper aims to investigate the impact of industrial robotics, examining the process integration in a sample of +600 companies located in the Province of Brescia, an intensive industrial area in the North of Italy. Through a detailed economic investigation, this study analyses the adoption of robotic solutions in companies of varying sizes, using a survey and financial databases to investigate the most used types of robots, their applications, the impacts at the operational and personnel level, and the companies’ growth (sales, employees, other). The results highlight a significant presence of robotic solutions, particularly articulated robots, in the large companies involved. Robotics diffusion positively correlates with significant improvements in terms of productivity and quality. The introduction of robots is associated with increased corporate growth indicators, including staff expansion. Large companies demonstrate a superior ability to adapt to these technologies, supported by more significant financial resources and a wide range of internal competencies for managing robots. Furthermore, large companies proactively hire qualified personnel or initiate internal training courses. Small and medium-sized enterprises (SMEs), although currently less equipped with robotic technologies, exhibit a significant interest in future adoption, highlighting the opportunity for growth and innovation. The results suggest that integrating robotics in the manufacturing sector not only constitutes an effective means to enhance operational performance but also acts as a catalyst for developing human capital and strengthening the local economy.

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Chioreanu, Adrian, Stelian Brad, and Emilia Brad. "Knowledge Modelling of E-Maintenance in Industrial Robotics." Advanced Engineering Forum 8-9 (June 2013): 603–10. http://dx.doi.org/10.4028/www.scientific.net/aef.8-9.603.

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Nowadays providers of maintenance and support related to industrial robotics are facing major challenges. Equipment producers around the world are urged to make significant efforts in order to provide high value added services in addition to their traditional product development and manufacturing business. A focal problem with maintenance as well as support of industrial robotics is the need to manage the ever-increasing information flow and system complexity of production cells that incorporate equipment from different producers. In this context, a novel ontology-based representation model is developed for the sharing and use of maintenance knowledge in the robotic field.

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10

Joby, P. P. "Wireless Control of Swarm Robotics for Industrial Automation." IRO Journal on Sustainable Wireless Systems 4, no. 3 (September 15, 2022): 202–11. http://dx.doi.org/10.36548/jsws.2022.3.007.

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In the modern world, robots and robotic technologies are engaged extensively in industrial automation. The performance of the collaborative robots has resulted in utilizing them as primary forces in industries. In this paper, we propose the concept of swarm robotics to address the drawbacks of industrial automation. Wireless communication established in the robots and the control systems enabling automation. Swarm robotics is a technology where multiple robots together solve issues by developing advantageous structures and behaviors replicating nature like swarms of bees, fish or birds. Wireless technologies (4G, 5G and Wi-Fi) are employed that aids in controlling of multiple robots in distributed locations.

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11

De-Gol, Gino. "Passenger-Carrying Industrial Robotics [Industrial Activities]." IEEE Robotics & Automation Magazine 19, no. 4 (December 2012): 12–16. http://dx.doi.org/10.1109/mra.2012.2221234.

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SOBOLEV, Leonid B. "Aerospace robotics." Economic Analysis: Theory and Practice 20, no. 1 (January 28, 2021): 165–83. http://dx.doi.org/10.24891/ea.20.1.165.

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Subject. The article considers problems related to the national technological security in the medium- and long-term, which involve the catastrophic lag of Russia in the production and use of robots in various economic activities. Robotics is one of the components of the fourth industrial revolution, a logical continuation of computerization and automation of industrial and service processes of the previous stage of the world economy evolution. Objectives. I focus on analyzing the robotics process of the global aerospace industry, the link with the global robotics process, and the impact on the labor market. Methods. The study employs general scientific methods to analyze the open-source data. Results. I demonstrate the economic feasibility and efficiency of using robots in the aviation industry, space exploration, and related industries. Conclusions. Russia's achievement of worldwide average indicators will require dramatic overhaul, starting with the system of engineering robotic education, acceleration of the development of microelectronics and sensory professional equipment, and the labor market reform.

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13

Dzedzickis, Andrius, Jurga Subačiūtė-Žemaitienė, Ernestas Šutinys, Urtė Samukaitė-Bubnienė, and Vytautas Bučinskas. "Advanced Applications of Industrial Robotics: New Trends and Possibilities." Applied Sciences 12, no. 1 (December 23, 2021): 135. http://dx.doi.org/10.3390/app12010135.

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This review is dedicated to the advanced applications of robotic technologies in the industrial field. Robotic solutions in areas with non-intensive applications are presented, and their implementations are analysed. We also provide an overview of survey publications and technical reports, classified by application criteria, and the development of the structure of existing solutions, and identify recent research gaps. The analysis results reveal the background to the existing obstacles and problems. These issues relate to the areas of psychology, human nature, special artificial intelligence (AI) implementation, and the robot-oriented object design paradigm. Analysis of robot applications shows that the existing emerging applications in robotics face technical and psychological obstacles. The results of this review revealed four directions of required advancement in robotics: development of intelligent companions; improved implementation of AI-based solutions; robot-oriented design of objects; and psychological solutions for robot–human collaboration.

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Kamilaris, Andreas, and Nicolò Botteghi. "The penetration of Internet of Things in robotics: Towards a web of robotic things." Journal of Ambient Intelligence and Smart Environments 12, no. 6 (November 26, 2020): 491–512. http://dx.doi.org/10.3233/ais-200582.

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As the Internet of Things (IoT) penetrates different domains and application areas, it has recently entered also the world of robotics. Robotics constitutes a modern and fast-evolving technology, increasingly being used in industrial, commercial and domestic settings. IoT, together with the Web of Things (WoT) could provide many benefits to robotic systems. Some of the benefits of IoT in robotics have been discussed in related work. This paper moves one step further, studying the actual current use of IoT in robotics, through various real-world examples encountered through a bibliographic research. The paper also examines the potential of WoT, together with robotic systems, investigating which concepts, characteristics, architectures, hardware, software and communication methods of IoT are used in existing robotic systems, which sensors and actions are incorporated in IoT-based robots, as well as in which application areas. Finally, the current application of WoT in robotics is examined and discussed.

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Makulavičius, Mantas, Sigitas Petkevičius, Justė Rožėnė, Andrius Dzedzickis, and Vytautas Bučinskas. "Industrial Robots in Mechanical Machining: Perspectives and Limitations." Robotics 12, no. 6 (November 24, 2023): 160. http://dx.doi.org/10.3390/robotics12060160.

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Recently, the need to produce from soft materials or components in extra-large sizes has appeared, requiring special solutions that are affordable using industrial robots. Industrial robots are suitable for such tasks due to their flexibility, accuracy, and consistency in machining operations. However, robot implementation faces some limitations, such as a huge variety of materials and tools, low adaptability to environmental changes, flexibility issues, a complicated tool path preparation process, and challenges in quality control. Industrial robotics applications include cutting, milling, drilling, and grinding procedures on various materials, including metal, plastics, and wood. Advanced robotics technologies involve the latest advances in robotics, including integrating sophisticated control systems, sensors, data fusion techniques, and machine learning algorithms. These innovations enable robots to adapt better and interact with their environment, ultimately increasing their accuracy. The main focus of this study is to cover the most common industrial robotic machining processes and to identify how specific advanced technologies can improve their performance. In most of the studied literature, the primary research objective across all operations is to enhance the stiffness of the robotic arm’s structure. Some publications propose approaches for planning the robot’s posture or tool orientation. In contrast, others focus on optimizing machining parameters through the utilization of advanced control and computation, including machine learning methods with the integration of collected sensor data.

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16

Pransky, Joanne. "The Pransky interview: Dr Nabil Simaan, Vanderbilt University Professor of Mechanical Engineering, Computer Science and Otolaryngology, Thought Leader in Medical Robotics." Industrial Robot: the international journal of robotics research and application 48, no. 4 (July 29, 2021): 473–77. http://dx.doi.org/10.1108/ir-03-2021-0053.

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Purpose The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD and innovator regarding his pioneering efforts. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Nabil Simaan, Professor of Mechanical Engineering, Computer Science and Otolaryngology at Vanderbilt University. He is also director of Vanderbilt’s Advanced Robotics and Mechanism Applications Research Laboratory. In this interview, Simaan shares his unique perspective and approaches on his journey of trying to solve real-world problems in the medical robotics area. Findings Simaan received his BSc, MSc and PhD in mechanical engineering from the Technion – Israel Institute of Technology. He served as Postdoctoral Research Scientist in Computer Science at Johns Hopkins University. In 2005, he joined Columbia University, New York, NY, as an Assistant Professor of Mechanical Engineering until 2010, when he joined Vanderbilt. His current applied research interests include synthesis of novel robotic systems for surgical assistance in confined spaces with applications to minimally invasive surgery of the throat, natural orifice surgery, cochlear implant surgery and dexterous bimanual microsurgery. Theoretical aspects of his research include robot design and kinematics. Originality/value Dr Simaan is a leading pioneer on designing robotic systems and mechanisms for medical applications. Examples include technologies for snake robots licensed to Intuitive Surgical; technologies for micro-surgery of the retina, which led to the formation of AURIS Surgical Robotics; the insertable robotic effector platform (IREP) single-port surgery robot that served as the research prototype behind the Titan Medical Inc. Sport (Single Port Orifice Robotic Technology). Simaan received the NSF Career award for young investigators to design new algorithms and robots for safe interaction with the anatomy. He has served as the Editor for IEEE International Conference on Robotics and Automation, Associate Editor for IEEE Transactions on Robotics, Editorial Board Member of Robotica, Area Chair for Robotics Science and Systems and corresponding Co-chair for the IEEE Technical Committee on Surgical Robotics. In January 2020, he was bestowed the award of Institute of Electrical and Electronics Engineers (IEEE) Fellow for Robotics Advancements. At the end of 2020, he was named a top voice in health-care robotics by technology discovery platform InsightMonk and market intelligence firm BIS Research. Simaan holds 15 patents. A producer of human capital, his education goal is to achieve the best possible outcome with every student he works with.

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Zhang, Weijun, and Naoki Asakawa. "Special Issue on Robotic Technologies Towards Industrial Applications." International Journal of Automation Technology 6, no. 1 (January 5, 2012): 3. http://dx.doi.org/10.20965/ijat.2012.p0003.

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Robotics technologies have come to be widely developed for and applied to a variety of industrial areas, including the manufacturing, transportation, and public security fields. Broadly defined, the robotics technologies implemented in industry involve numerous flexible mechanisms, high-precision control, multi-sensor integration and fusion, high-performance computation, and intelligent software. The collection of articles featured in this special issue concerns several of the robotics technologies touched upon above, such as the mechanical design methodology and applications of manipulators in joint compliance research, the reliability design and implementation of robots utilized to feed glassmaking-materials in the glass industry, and the sensing techniques and navigation algorithm design in multi-floor structural environments, to mention just a few. These papers include too many subjects to all be mentioned here, and have presented exemplifications and applicable approaches to both conventional and cutting-edge industry. They have also greatly enhanced the research and development of robotic technologies. We would like to express our sincere appreciation to the authors, the reviewers, and the editors for their invaluable contributions in making this issue possible.

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Benotsmane, Rabab, László Dudás, and György Kovács. "Survey on artificial intelligence algorithms used in industrial robotics." Multidiszciplináris tudományok 10, no. 4 (2020): 194–205. http://dx.doi.org/10.35925/j.multi.2020.4.23.

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Nowadays, in the age of Industry 4.0 the Artificial Intelligence (AI) and Machine Learning capabilities have important role in the implementation of this new paradigm in the industrial sector. Especially in industrial robotics technology where the main target is improving the productivity, which requires the improvement on the rigid, inflexible capabilities of industrial robots. This article presents an overview of AI algorithms used in industrial robotics. In the first part of the article an overview about the Machine Learning algorithms used for industrial robots will be discussed. In the second part of the study we will introduce the most important AI algorithms used to optimize and improve the trajectory of robotic arms.

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Shakya, Dr Subarna. "Survey on Cloud Based Robotics Architecture, Challenges and Applications." Journal of Ubiquitous Computing and Communication Technologies 2, no. 1 (March 11, 2020): 10–18. http://dx.doi.org/10.36548/jucct.2020.1.002.

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The emergence of the cloud computing, and the other advanced technologies has made possible the extension of the computing and the data distribution competencies of the robotics that are networked by developing an cloud based robotic architecture by utilizing both the centralized and decentralized cloud that is manages the machine to cloud and the machine to machine communication respectively. The incorporation of the robotic system with the cloud makes probable the designing of the cost effective robotic architecture that enjoys the enhanced efficiency and a heightened real- time performance. This cloud based robotics designed by amalgamation of robotics and the cloud technologies empowers the web enabled robots to access the services of cloud on the fly. The paper is a survey about the cloud based robotic architecture, explaining the forces that necessitate the robotics merged with the cloud, its application and the major concerns and the challenges endured in the robotics that is integrated with the cloud. The paper scopes to provide a detailed study on the changes influenced by the cloud computing over the industrial robots.

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20

Andrusevich, Anatoliy, Shakhin Omarov, Nikolaj Starodubcev, and Viktoriia Nevliudova. "STUDY OF THE INFLUENCE OF THE MODERN ROBOTISATION LEVEL ON THE CHALLENGES AND RISKS OF THE ECONOMIC SECURITY OF AN INDUSTRIAL ENTERPRISEG." Innovative Technologies and Scientific Solutions for Industries, no. 3 (21) (November 18, 2022): 70–79. http://dx.doi.org/10.30837/itssi.2022.21.070.

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Industry 4.0 envisages a comprehensive transformation of all industries by combining digital technologies and the Internet with traditional industries. It is important to emphasize that Industry 4.0 relies heavily on robotics. Robotization opens up new opportunities for an industrial enterprise, completely transforming the technologies and organization of its production process and business model. Many of today’s threats to the economic security of an industrial enterprise can be mitigated due to digitalization and flexible robotization of production and promotion of goods. But at the same time, processes related to the robotization of the economy create new threats to economic and social security. The consequences of their influence and the mechanisms of their leveling are the subject of research. The goal of the work is to study the impact of robotics on the economic security of an industrial enterprise. The following tasks are solved in the article: an overview of the areas of application and trends in the development of industrial robots; overview of the robotics market; analysis of risks and threats to the economic security of industrial enterprises arising as a result of robotization. The methods of system analysis, graphic generalization and classification are used. The results of the work include an analysis of the current state of robotics and the introduction of industrial robots in production, a brief analysis of the robotics market and a study of external challenges, uncertainties and risks arising from robotics: political-economic, technological, financial and environmental. Conclusions. The development of robotics is a priority direction for innovative industrialization not only in the long term, but also in the short term. Robotics can also become a locomotive for general economic growth, given that the most advanced developed countries are currently creating their own robotic enterprises and transferring production from developing countries to them. However, in the context of robotization, it should be taken into account that these processes, along with potential benefits for the industrial enterprise, can also create new threats to economic and social security.

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21

Dent, R. "Book Review: Industrial Robotics." International Journal of Electrical Engineering & Education 26, no. 3 (July 1989): 278. http://dx.doi.org/10.1177/002072098902600333.

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22

Wilson, M. "Developments in industrial robotics." Computing & Control Engineering Journal 6, no. 4 (August 1, 1995): 156–60. http://dx.doi.org/10.1049/cce:19950401.

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23

Sriram, D. "Handbook of industrial robotics." Artificial Intelligence in Engineering 3, no. 1 (January 1988): 51–52. http://dx.doi.org/10.1016/0954-1810(88)90045-3.

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24

McCormack, N. I. "Handbook of Industrial Robotics." Journal of Mechanical Working Technology 15, no. 1 (July 1987): 107–11. http://dx.doi.org/10.1016/0378-3804(87)90010-6.

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Taylor, P. M. "Handbook of industrial robotics." Automatica 23, no. 2 (March 1987): 264–65. http://dx.doi.org/10.1016/0005-1098(87)90106-3.

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26

Cherrington, J. "Introduction to industrial robotics." Computer Integrated Manufacturing Systems 2, no. 4 (November 1989): 249. http://dx.doi.org/10.1016/0951-5240(89)90064-5.

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27

D'Auria, Antonio. "Industrial robotics lacks homogeneity." Computer Integrated Manufacturing Systems 3, no. 2 (May 1990): 125. http://dx.doi.org/10.1016/0951-5240(90)90120-4.

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28

Tahir, Mr Khan Mohammad. "Vision Assisted Robotic Arm Using Arduino." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 371–79. http://dx.doi.org/10.22214/ijraset.2024.59740.

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Abstract: In the era of automation, the fusion of robotics and computer vision offers promising solutions for sustainable industrial practices. This paper presents the development and implementation of a vision-assisted robotic arm system designed for efficient object sorting by color. Leveraging the integration of robotics and computer vision, the system demonstrates its potential to optimize industrial processes while promoting environmental sustainability. The paper discusses the construction, experimental results, insights gained, and future implications of the project, highlighting its contributions to sustainable development goals.

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Epping, Kyle, and Hao Zhang. "A Sustainable Decision-Making Framework for Transitioning to Robotic Welding for Small and Medium Manufacturers." Sustainability 10, no. 10 (October 12, 2018): 3651. http://dx.doi.org/10.3390/su10103651.

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Small and medium-sized enterprises (SMEs) face challenges in implementing industrial robotics in their manufacturing due to limited resources and expertise. There is still good economic potential in using industrial robotics, however, due to manufacturers leaning toward newer technology and automated processes. The research on sustainability decision-making for transitioning a traditional process to a robotic process is limited for SMEs. This study presents a systemic framework for assessing the sustainability of implementing robotic techniques in key processes that would benefit SMEs. The framework identifies several key economic, technical, and managerial decision-making factors during the transition phase. Sustainability assessments, including cost, environmental impact, and social impact, are used in the framework for engineers and managers to evaluate the technical and sustainability trade-offs of the transition. A case study was conducted on a typical US metal fabrication SME focusing on transitioning a shielded metal arc welding (SMAW) process to a robotic gas metal arc welding (GMAW) process. A sustainability assessment was conducted following the framework. The results suggest that the transition phase involves numerous factors for engineers and managers to consider and the proposed framework will benefit SMEs by providing an analytical method for industrial robotics implementation decision-making.

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Antunes, Rodrigo, Luís Nunes, Martim Lima de Aguiar, and Pedro Dinis Gaspar. "A Laboratory-Based Multidisciplinary Approach for Effective Education and Training in Industrial Collaborative Robotics." Laboratories 1, no. 1 (January 5, 2024): 34–51. http://dx.doi.org/10.3390/laboratories1010002.

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The rapid evolution of robotics across various sectors, including healthcare, manufacturing, and domestic applications, has underscored a significant workforce skills gap. The shortage of qualified professionals in the labor market has had adverse effects on production capacities. Therefore, the significance of education and training for cultivating a skilled workforce cannot be overstated. This research work presents the development of a pedagogical approach centered on laboratory infrastructure designed specifically with multidisciplinary technologies and strategic human–machine interaction protocols to enhance learning in industrial robotics courses. Progressive competencies in laboratory protocols are developed, focusing on programming and simulating real-world industrial robotics tasks, to bridge the gap between theoretical education and practical industrial applications for higher education students. The proposed infrastructure includes a user-configurable maze comprising different colored elements, defining starting points, endpoints, obstacles, and varying track sections. These elements foster a dynamic and unpredictable learning environment. The infrastructure is fabricated using Computer Numerical Control (CNC) machining and 3D printing techniques. A collaborative robot, the Universal Robots UR3e, is used to navigate the maze and solve the track with advanced computer vision and human–machine communication. The amalgamation of practical experience and collaborative robotics furnishes students with hands-on experience, equipping them with the requisite skills for effective programming and manipulation of robotic devices. Empowering human–machine interaction and human–robot collaboration assists in addressing the industry’s demand for skilled labor in operating collaborative robotic manipulators.

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Ibrahim, Rusul, Muhanad Alkilabi, Ali Retha Hasoon Khayeat, and Elio Tuci. "Review of Collective Decision Making in Swarm Robotics." Journal of Al-Qadisiyah for Computer Science and Mathematics 16, no. 1 (March 30, 2024): 72–80. http://dx.doi.org/10.29304/jqcsm.2024.16.11436.

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Swarm robotics is a distinctive type of multi-robotic system that relies on local communication among the swarm members to generate a desired global behaviour. This implies a lack of global information, requiring robots to sense and communicate using sensors and actuators located on their bodies. Consequently, the robots within the swarm must leverage collective intelligence to solve the problem at hand, as no individual robot can accomplish the task independently. This article provides an overview of swarm robotics in general, highlighting its characteristics that distinguish it from other multi-robotic systems and simultaneously serve as motivation to adopt a swarm robotics approach. A closer examination of collective decision making within swarm robotics and its design problem also provided, classifying design methods into manual design and automatic approaches. The most commonly used automatic approaches to design collective decision making in swarm robotics are explained, along with a mention of the benefits and drawbacks of such approaches. However, this review does not cover aspects such as the swarm collective behaviours – except collective decision making – and the swarm robotics tasks.

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Vagaš, Marek, Marek Sukop, and Jozef Varga. "Design and Implementation of Remote Lab with Industrial Robot Accessible through the Web." Applied Mechanics and Materials 859 (December 2016): 67–73. http://dx.doi.org/10.4028/www.scientific.net/amm.859.67.

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This paper describes design and implementation of remote lab with industrial robot accessible through the web based on Moodle portal, Easy Java Simulations (EJS) and Arduino Sw & Hw. The main purpose of this lab is to improve study, training and programming knowledge in industrial and service robotics for students, teachers of secondary vocational schools and company workers that deal with problems that arise on real robotic workplaces. This lab allows the user to work from their homes and operates with industrial robot at real workplace. Such remote lab can also enable users to use expensive lab equipment, which is not usually available to all persons. Practical example of application of the lab with industrial robot on Department of Robotics, Technical University of Kosice, Slovakia is presented.

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Pekarcikova, Miriam, Peter Trebuna, Marek Kliment, and Michal Dic. "Wlkata educational robots used in simulation in the laboratory conditions." Acta Simulatio 9, no. 3 (September 30, 2023): 33–37. http://dx.doi.org/10.22306/asim.v9i3.101.

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Wlkata Mirobot is a portable robotic arm that is suitable for robotics-oriented projects. Practical education in the field of robotics in laboratory conditions is of great importance from the point of view of acquiring competence in the field of soft robotics, digitalization, simulation, etc. The cost and size of the equipment limits the use of real industrial robots in laboratory conditions. The connection of specific elements that Wlkata offers and when combined with artificial intelligence, it is possible to fully use the potential of this technological solution when testing digital twins in laboratory conditions.

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Yap, Yee Ling, Swee Leong Sing, and Wai Yee Yeong. "A review of 3D printing processes and materials for soft robotics." Rapid Prototyping Journal 26, no. 8 (June 20, 2020): 1345–61. http://dx.doi.org/10.1108/rpj-11-2019-0302.

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Purpose Soft robotics is currently a rapidly growing new field of robotics whereby the robots are fundamentally soft and elastically deformable. Fabrication of soft robots is currently challenging and highly time- and labor-intensive. Recent advancements in three-dimensional (3D) printing of soft materials and multi-materials have become the key to enable direct manufacturing of soft robots with sophisticated designs and functions. Hence, this paper aims to review the current 3D printing processes and materials for soft robotics applications, as well as the potentials of 3D printing technologies on 3D printed soft robotics. Design/methodology/approach The paper reviews the polymer 3D printing techniques and materials that have been used for the development of soft robotics. Current challenges to adopting 3D printing for soft robotics are also discussed. Next, the potentials of 3D printing technologies and the future outlooks of 3D printed soft robotics are presented. Findings This paper reviews five different 3D printing techniques and commonly used materials. The advantages and disadvantages of each technique for the soft robotic application are evaluated. The typical designs and geometries used by each technique are also summarized. There is an increasing trend of printing shape memory polymers, as well as multiple materials simultaneously using direct ink writing and material jetting techniques to produce robotics with varying stiffness values that range from intrinsically soft and highly compliant to rigid polymers. Although the recent work is done is still limited to experimentation and prototyping of 3D printed soft robotics, additive manufacturing could ultimately be used for the end-use and production of soft robotics. Originality/value The paper provides the current trend of how 3D printing techniques and materials are used particularly in the soft robotics application. The potentials of 3D printing technology on the soft robotic applications and the future outlooks of 3D printed soft robotics are also presented.

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KUSUDA, Yoshihiro. "The Evolution of Industrial Robotics." Journal of The Institute of Electrical Engineers of Japan 126, no. 5 (2006): 292–95. http://dx.doi.org/10.1541/ieejjournal.126.292.

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KUSUDA, Yoshihiro. "The Evolution of Industrial Robotics." Journal of The Institute of Electrical Engineers of Japan 126, no. 6 (2006): 378–81. http://dx.doi.org/10.1541/ieejjournal.126.378.

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Japan Industrial Robot Association. "Japan Industrial Standard on robotics." Journal of the Robotics Society of Japan 4, no. 1 (1986): 43–46. http://dx.doi.org/10.7210/jrsj.4.43.

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Hajduk, Mikuláš, Peter Jenčík, Jaromír Jezný, and Ladislav Vargovčík. "Trends in Industrial Robotics Development." Applied Mechanics and Materials 282 (January 2013): 1–6. http://dx.doi.org/10.4028/www.scientific.net/amm.282.1.

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The article describes the development and defines the change of approach in the development of today's industrial robotics, provides an overview of the latest trends in the field of industrial robotics. Until now, the industrial robots have been deployed to less demanding work environments to perform "only" handling operations and to synchronize the operations of individual facilities. Now they are undergoing a major innovation process, the bulk of which is focused on increasing their intelligence and multi-functionality.

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Lucas, George R. "INDUSTRIAL CHALLENGES OF MILITARY ROBOTICS." Journal of Military Ethics 10, no. 4 (December 2011): 274–95. http://dx.doi.org/10.1080/15027570.2011.639164.

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Fernandez, German, Sergio Gutierrez, Elio Ruiz, Francisco Perez, and Manuel Gil. "Robotics, the New Industrial Revolution." IEEE Technology and Society Magazine 31, no. 2 (2012): 51–58. http://dx.doi.org/10.1109/mts.2012.2196595.

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Cigna, P., G. Marinoni, G. Capello, and M. Actis Dato. "Robotics developments and industrial applications." Robotics 3, no. 1 (March 1987): 73–79. http://dx.doi.org/10.1016/0167-8493(87)90035-0.

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Mandeep Singh and Subair Ali Liayakath Ali Khan. "Advances in Autonomous Robotics: Integrating AI and Machine Learning for Enhanced Automation and Control in Industrial Applications." International Journal for Multidimensional Research Perspectives 2, no. 4 (April 21, 2024): 74–90. http://dx.doi.org/10.61877/ijmrp.v2i4.135.

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The integration of Artificial Intelligence (AI) and Machine Learning (ML) into autonomous robotics has heralded significant advancements in industrial applications, enhancing operational efficiencies, precision, and adaptability. This paper explores the transformative impact of AI and ML technologies on autonomous robotics in industrial settings, emphasizing the enhancements in automation and control mechanisms. Through a comprehensive literature review and analysis, we discuss the synergistic relationship between AI, ML, and robotics, and how this integration not only improves sensory and decision-making capabilities but also introduces adaptive learning and collaborative functionalities in robotic systems. Our findings reveal that AI-enhanced sensory technologies enable robots to perform complex recognition and manipulation tasks with unprecedented accuracy. Simultaneously, ML algorithms facilitate predictive maintenance, reducing downtime and extending the lifecycle of machinery. Moreover, adaptive learning capabilities allow robots to adjust to new environments and tasks without extensive reprogramming, showcasing significant flexibility and cost-efficiency. The deployment of AI and ML in robotics is not without challenges. The paper identifies key limitations such as data dependency, high computational demands, and adaptability issues. Ethical and societal implications, including job displacement and privacy concerns, are also critically examined to propose a balanced approach towards technology adoption. These include increased investment in R&D, the development of robust ML models, enhanced data governance frameworks, and the establishment of ethical standards to ensure responsible integration of these technologies into industrial practices. By addressing these challenges and leveraging collaborative efforts across sectors, the potential of AI and ML in revolutionizing industrial robotics can be fully realized, leading to a new era of manufacturing excellence.

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Raparelli, Terenziano, and Pierluigi Beomonte Zobel. "Special Issue on New Challenges in Robotics Technology." International Journal of Automation Technology 11, no. 3 (April 28, 2017): 343. http://dx.doi.org/10.20965/ijat.2017.p0343.

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Robotics has reached a top technological level in recent years, a level at which it can be successfully used not only in structured spaces (for less complex applications) but also increasingly in unstructured spaces. Robotics technology is now used effectively in hospitals for rehabilitation and assistive devices, in the home for domestic applications, in the space for autonomous robots and automated vehicles, in amusement parks for entertainment attractions, and on the ground for military applications. In industrial applications, robotics has enlarged its scope with high-speed robots, cooperative robots, and smart robotic devices for production set-ups. These new applications have created new challenges in robotics. New materials have been developed to make frames lighter and smarter, new actuators and sensors have been made in compliance with specific applications and for more advanced performance, new flexible gripper devices have been produced with superior control systems, and new interfaces have been developed that are integrated with the devices and easier to use. This special issue features 18 research articles related to the latest research results and practical case studies in robotics technology. Subjects include robots for rehabilitation, robots as assistive devices, robots for agriculture, robots for exploration, robots for automation and industrial applications, service robots, new actuators, new sensors, new gripping devices, new control strategies, and robotic systems. We deeply appreciate the careful efforts of all the authors and thank the reviewers for their incisive efforts. Without these contributions, this special issue could not have been printed. We hope that this special issue will trigger further research on robotics technology. Finally a special memory of Cesare Rossi, one of the authors, that died suddenly after the preparation of the manuscript.

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Rossiter, Jonathan, and Helmut Hauser. "Soft Robotics - The Next Industrial Revolution? [Industrial Activities]." IEEE Robotics & Automation Magazine 23, no. 3 (September 2016): 17–20. http://dx.doi.org/10.1109/mra.2016.2588018.

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Sekhar, C. Chandra. "Robotic Arm Vehicle for Planting." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (February 29, 2024): 1573–76. http://dx.doi.org/10.22214/ijraset.2024.58543.

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Abstract: The advancement in Robotics technology has opened up new possibilities in many fields such as manufacturing, medical, industrial and defence. As agriculture labour becomes increasingly costly and scarce, we can displace workers with robotics technology, reducing the financial burden of small farmers. This paper aims to develop an android-controlled 6 DOF robotic arm and drill mechanism attached to a vehicle for planting a sapling. Through a drill mechanism, holes are made on one side and planting is done by a robotic arm on the other side. This prototype will be controlled using an Android application connected to the Arduino board via Bluetooth. Robotic arms are capable of performing a task repetitively.

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Nirwan Sinuhaji, Dewi Yohana Br Ginting, and Benar. "Implementasi Algoritma Line Mapping Dengan Sensor Ultrasonik Pada Robot Pengantar Makanan Berbasis Mikrokontroler." Bulletin of Computer Science Research 3, no. 5 (August 31, 2023): 380–85. http://dx.doi.org/10.47065/bulletincsr.v3i5.281.

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The development Of the world of robotics at thi time in the current era of industrial technology robotics technology is able to improve the quality and quantity of production in various factories so that naby new ideas emerge about robotics technology that are useful for human life. By utilizing robotic, especially in restaurants or restaurants, it can already be done restaurants or restaurants, it can already be done without using human hands, but it has been done with robotic technology. A line follower food delivery robot which is a type of moving robot using an ATMega16 microcontroller whose mission is to detect and follow a guide line that has been made on the track field. In the research algorithm used line mapping. This robot still uses a permanent arm, and this robot cannot automatically pick up or place food at its destination

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Coronado, Enrique, Shunki Itadera, and Ixchel G. Ramirez-Alpizar. "Integrating Virtual, Mixed, and Augmented Reality to Human–Robot Interaction Applications Using Game Engines: A Brief Review of Accessible Software Tools and Frameworks." Applied Sciences 13, no. 3 (January 18, 2023): 1292. http://dx.doi.org/10.3390/app13031292.

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This article identifies and summarizes software tools and frameworks proposed in the Human–Robot Interaction (HRI) literature for developing extended reality (XR) experiences using game engines. This review includes primary studies proposing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) solutions where humans can control or interact with real robotic platforms using devices that extend the user’s reality. The objective of this article is not to present an extensive list of applications and tools. Instead, we present recent, relevant, common, and accessible frameworks and software tools implemented in research articles published in high-impact robotics conferences and journals. For this, we searched papers published during a seven-years period between 2015 and 2022 in relevant databases for robotics (Science Direct, IEEE Xplore, ACM digital library, Springer Link, and Web of Science). Additionally, we present and classify the application context of the reviewed articles in four groups: social robotics, programming of industrial robots, teleoperation of industrial robots, and Human–Robot collaboration (HRC).

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Bogue, Robert. "Cloud robotics: a review of technologies, developments and applications." Industrial Robot: An International Journal 44, no. 1 (January 16, 2017): 1–5. http://dx.doi.org/10.1108/ir-10-2016-0265.

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Purpose This paper aims to provide an insight into the current state of cloud robotics developments, technology and applications. Design/methodology/approach Following a short introduction, this paper first considers the potential benefits of cloud robotics. It discusses cloud service providers and then considers a range of recent applications and developments involving humanoid, mobile and industrial robots. This is followed by details of some recent market entrants and their developments. Finally, brief concluding comments are drawn. Findings Cloud robotics is a rapidly developing technology made possible by the current ubiquitous internet connectivity and the growing number of powerful cloud computing services available. Benefits include access to big data sets, open-source algorithms, code and programmes, massively powerful parallel or grid computing and the sharing of information between robots. The technology has been applied successfully to humanoid, industrial, mobile and other classes of robots, often through direct collaborations between robot manufacturers and major IT companies. Several new companies have been established in very recent years to exploit the capabilities of cloud robotic technologies. Originality/value Cloud robotics is a highly topical and rapidly developing field, and this paper provides a detailed insight into recent developments and applications.

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Nezhnikova, Ekaterina, and Khamzet Pshinshev. "The prospect of development of robotics in Russia." E3S Web of Conferences 175 (2020): 05043. http://dx.doi.org/10.1051/e3sconf/202017505043.

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The article considers the position of the Russian robotics market in relation to the matrix of approaches to the development of national programs. At this stage, Russian robotics is based more on foreign basic research with a focus on the external market, since the capacity of the domestic Russian market is still insignificant and for the sustainable development of domestic developers and manufacturers of robotic systems it is necessary to focus on foreign markets. Robotics is traditionally divided by the international robotics Federation (IFR) into service and industrial robotics. Currently, the first type of robotics prevails in Russia, which can be seen by the number of companies belonging to these types: 80 companies developing service robots against 10 industrial ones. Thanks to the SWOT analysis of the robotics market in Russia conducted in the second part of the article, the main competitive advantages of the country were identified, among which, for example, one can note the huge territories and small population. Due to this situation, the use of unmanned transport (air, land, sea and river) in our country can be justified and cost-effective. As a result, driverless transport on our routes can be used for commercial purposes a little earlier than in countries with higher population density. It is also worth noting the threats that arise in the way of the development of domestic robotics. In the first place among the main ones are geopolitical barriers: the current sanctions regime against the Russian Federation puts barriers on scientific and technical cooperation with foreign specialists, prevents the import of technologies and blocks access to international investment. It is also worth noting the increase in the trend

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Adekola Adebayo, Riliwan, Nwankwo Constance Obiuto, Igberaese Clinton Festus-Ikhuoria, and Oladiran Kayode Olajiga. "Robotics in Manufacturing: A Review of Advances in Automation and Workforce Implications." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 2 (March 26, 2024): 632–38. http://dx.doi.org/10.62225/2583049x.2024.4.2.2549.

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The integration of robotics in manufacturing processes has undergone significant advancements, reshaping the landscape of industrial production and introducing transformative changes. This review explores the latest developments in robotics within the manufacturing sector, shedding light on the technological breakthroughs and their implications on the workforce. The recent surge in robotics adoption in manufacturing has been driven by the pursuit of increased efficiency, precision, and cost-effectiveness. From traditional robotic arms to cutting-edge collaborative robots (cobots) that work alongside human operators, the manufacturing industry has witnessed a paradigm shift. Advanced robotic systems equipped with artificial intelligence (AI) and machine learning algorithms enable adaptive and autonomous decision-making, further enhancing their capabilities. Automation in manufacturing, fueled by robotics, has yielded numerous benefits such as improved product quality, reduced production cycle times, and increased overall productivity. The review delves into case studies and real-world applications where robotics have proven instrumental in optimizing manufacturing processes across diverse industries. However, as the manufacturing landscape evolves, the implications for the workforce cannot be overlooked. The integration of robotics poses challenges and opportunities for human workers. While automation has the potential to eliminate routine and hazardous tasks, it also necessitates upskilling and reskilling of the workforce to operate, program, and maintain robotic systems. The review examines the socio-economic impacts of increased automation, discussing potential shifts in employment patterns and the need for a strategic approach to workforce development. This review provides a comprehensive analysis of the advances in robotics within manufacturing and their profound implications on the workforce. Striking a balance between automation and human collaboration is crucial for the future of manufacturing, emphasizing the importance of proactive strategies to harness the benefits of robotics while ensuring a resilient and adaptable workforce.

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