Relevant bibliographies by topics / Industrial Robots

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Industrial Robots'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 February 2025

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Journal articles on the topic "Industrial Robots"

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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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Dissertations / Theses on the topic "Industrial Robots"

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Igelmo, Victor. "Using a general robot programming system to control an industrial robot." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15722.

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Industrial robot programs are usually created with the programming language that the manufacturer provides. These languages are often limited to cover the common usages within the industry. However, when a more advanced program is needed, then third-party programs are often used to, e.g., locating objects using vision systems, applying correct force with force torque sensors, etc. Instead of using both the language of the robot and third-party programs to create more advanced programs, it is preferable to have one system that can fully control the robot. Such systems exist, e.g., Robot Operating System (ROS), Yet Another Robot Language (YARP), etc. These systems require more time to fully set up, but once they are set up supposedly they can be used for a lot of different applications and can be used on several industrial robots from different manufacturers. Currently, University of Skövde have robots from Universal Robots (UR) with several peripheral equipment which has limited control because the built-in language does not support it. Therefore, they need help with both investigating which robot system could be used and implementing that robot system. This thesis will prove the suitability of using ROS to control aforesaid hardware, fulfilling all the requirements. It will be also demonstrated the feasibility of ROS in the long-term, according to the future plans for this equipment in University of Skövde.
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Silva, Jorge Vicente Lopes da. "Otimização na geração automatica de modelos dinamicos para o controle e a estimação de parametros de robos." [s.n.], 1990. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258922.

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Orientador: Edson de Paula Ferreira
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
Made available in DSpace on 2018-07-13T23:45:43Z (GMT). No. of bitstreams: 1 Silva_JorgeVicenteLopesda_M.pdf: 6182719 bytes, checksum: e4b7bfe60d4781e5ea10c6ce2172417d (MD5) Previous issue date: 1990
Resumo: Este trabalho apresenta contribuições no sentido de agilizar e otimizar a modelagem geométrica e dinâmica de robôs. A finalidade principal na utilização destes modelos é o desenvolvimento de estratégias de controle mais eficientes, que consigam compensar efeitos indesejáveis, quando é exigido um desempenho superior dos robôs. Estes modelos são de grande complexidade e sua obtenção manual, além de demorada, é extremamente árida e bastante sujeita a erros. Por este motivo, implementamos um sistema para a geração automática de modelos geométricos e modelos dinâmicos com base no formalismo de Lagrange, utilizando recursos para otimização destes modelos. É proposto um algoritmo eficiente para modelagem dinâmica, o qual elimina automaticamente um grande número de redundâncias. Este algoritmo é apresentado à nível de implementação
Abstract: This work presents contributions aiming at time saving and model improvement in the generation of geometric and dynamic robot models. The main purpose is to enable the generation of models suited for use in the development of more efficient control strategies, 50 as to compensa te effects that become undesirable when a better robot performance is required. These are quite complex models and the manual derivation of them is tedious, costly (time-consuming) and often error-prone. 50, it was implemented a system for automatic generation of symbolic geometric and dynamic robot models based in the Lagrange formulation and that also cares about model optimization. It is also proposed an efficient algorithm for dynamic modelling, which automatically eliminates a great number of redundancies. This algorithm is presented in the implementation level
Mestrado
Automação
Mestre em Engenharia Elétrica
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O'Hara, Keith Joseph. "Leveraging distribution and heterogeneity in robot systems architecture." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42706.

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Like computer architects, robot designers must address multiple, possibly competing, requirements by balancing trade-offs in terms of processing, memory, communication, and energy to satisfy design objectives. However, robot architects currently lack the design guidelines, organizing principles, rules of thumb, and tools that computer architects rely upon. This thesis takes a step in this direction, by analyzing the roles of heterogeneity and distribution in robot systems architecture. This thesis takes a systems architecture approach to the design of robot systems, and in particular, investigates the use of distributed, heterogeneous platforms to exploit locality in robot systems design. We show how multiple, distributed heterogeneous platforms can serve as general purpose robot systems for three distinct domains with different design objectives: increasing availability in a search and rescue mission, increasing flexibility and ease-of-use for a personal educational robot, and decreasing the computation and sensing resources necessary for navigation and foraging tasks.
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Sorour, Mohamed. "Motion discontinuity-robust controller for steerable wheeled mobile robots." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS090/document.

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Les robots mobiles à roues orientables gagnent de la mobilité en employant des roues conventionnelles entièrement orientables, comportant deux joints actifs, un pour la direction et un autre pour la conduite. En dépit d'avoir seulement un degré de mobilité (DOM) (défini ici comme degrés de liberté instantanément autorisés DOF), correspondant à la rotation autour du centre de rotation instantané (ICR), ces robots peuvent effectuer des trajectoires planaires complexes de $ 2D $. Ils sont moins chers et ont une capacité de charge plus élevée que les roues non conventionnelles (par exemple, Sweedish ou Omni-directional) et, en tant que telles, préférées aux applications industrielles. Cependant, ce type de structure de robot mobile présente des problèmes de contrôle textit {basic} difficiles de la coordination de la direction pour éviter les combats d'actionneur, en évitant les singularités cinématiques (ICR à l'axe de la direction) et les singularités de représentation (du modèle mathématique). En plus de résoudre les problèmes de contrôle textit {basic}, cette thèse attire également l'attention et présente des solutions aux problèmes de textit {niveau d'application}. Plus précisément, nous traitons deux problèmes: la première est la nécessité de reconfigurer "de manière discontinue" les articulations de direction, une fois que la discontinuité dans la trajectoire du robot se produit. Une telle situation - la discontinuité dans le mouvement du robot - est plus susceptible de se produire de nos jours, dans le domaine émergent de la collaboration homme-robot. Les robots mobiles qui fonctionnent à proximité des travailleurs humains en mouvement rapide rencontrent généralement une discontinuité dans la trajectoire calculée en ligne. Le second apparaît dans les applications nécessitant que l'angle de l'angle soit maintenu, certains objets ou fonctionnalités restent dans le champ de vision (p. Ex., Pour les tâches basées sur la vision) ou les changements de traduction. Ensuite, le point ICR est nécessaire pour déplacer de longues distances d'un extrême de l'espace de travail à l'autre, généralement en passant par le centre géométrique du robot, où la vitesse du robot est limitée. Dans ces scénarios d'application, les contrôleurs basés sur l'ICR à l'état de l'art conduiront à des comportements / résultats insatisfaisants. Dans cette thèse, nous résolvons les problèmes de niveau d'application susmentionnés; à savoir la discontinuité dans les commandes de vitesse du robot et une planification meilleure / efficace pour le contrôle du mouvement du point ICR tout en respectant les limites maximales de performance des articulations de direction et en évitant les singularités cinématiques et représentatives. Nos résultats ont été validés expérimentalement sur une base mobile industrielle
Steerable wheeled mobile robots gain mobility by employing fully steerable conventional wheels, having two active joints, one for steering, and another for driving. Despite having only one degree of mobility (DOM) (defined here as the instantaneously accessible degrees of freedom DOF), corresponding to the rotation about the instantaneous center of rotation (ICR), such robots can perform complex $2D$ planar trajectories. They are cheaper and have higher load carrying capacity than non-conventional wheels (e.g., Sweedish or Omni-directional), and as such preferred for industrial applications. However, this type of mobile robot structure presents challenging textit{basic} control issues of steering coordination to avoid actuator fighting, avoiding kinematic (ICR at the steering joint axis) and representation (from the mathematical model) singularities. In addition to solving the textit{basic} control problems, this thesis also focuses attention and presents solutions to textit{application level} problems. Specifically we deal with two problems: the first is the necessity to "discontinuously" reconfigure the steer joints, once discontinuity in the robot trajectory occurs. Such situation - discontinuity in robot motion - is more likely to happen nowadays, in the emerging field of human-robot collaboration. Mobile robots working in the vicinity of fast moving human workers, will usually encounter discontinuity in the online computed trajectory. The second appears in applications requiring that some heading angle is to be maintained, some object or feature stays in the field of view (e.g., for vision-based tasks), or the translation verse changes. Then, the ICR point is required to move long distances from one extreme of the workspace to the other, usually passing by the robot geometric center, where the feasible robot velocity is limited. In these application scenarios, the state-of-art ICR based controllers will lead to unsatisfactory behavior/results. In this thesis, we solve the aforementioned application level problems; namely discontinuity in robot velocity commands, and better/efficient planning for ICR point motion control while respecting the maximum steer joint performance limits, and avoiding kinematic and representational singularities. Our findings has been validated experimentally on an industrial mobile base
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Tang, Stanley C. "Robot positioning error analysis and correction." Thesis, This resource online, 1987. http://scholar.lib.vt.edu/theses/available/etd-04122010-083623/.

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Remy, Sekou. "How to teach a new robot new tricks an interactive learning framework applied to service robotics /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31678.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Dr. Ayanna M. Howard; Committee Member: Dr. Charles Kemp; Committee Member: Dr. Magnus Egerstedt; Committee Member: Dr. Patricio Vela. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Habibi, Saeid Reza. "Multivariable control of industrial robots." Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358353.

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Williams, S. J. "Multivariable controllers for industrial robots." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.482968.

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Michaud, Christian 1958. "Multi-robot workcell with vision for integrated circuit assembly." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65433.

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Klepko, Robert. "A rule-based hierarchical robot control system /." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66195.

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Books on the topic "Industrial Robots"

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1947-, Lerner Eric, and Business Communications Co, eds. Industrial robots. Norwalk, Conn., U.S.A: Business Communications Co., 1986.

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Publications, Key Note, ed. Industrial robots. 2nd ed. London: Key Note Publications, 1985.

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Hodges, Bernard. Industrial robotics. 2nd ed. Oxford: Newnes, 1992.

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Schuler, Charles A. Modern industrial electronics. New York: Glencoe, 1993.

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Schuler, Charles A. Modern industrial electronics. New York: Glencoe, 1993.

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L, McNamee William, ed. Industrial electronics and robotics. New York: McGraw-Hill, 1986.

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Mair, Gordon M. Industrial robotics. New York: Prentice Hall, 1988.

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Marker, A. Industrial robots in Australia: An introduction. Canberra: Legislative Research Service, Dept. of Parliamentary Library, 1985.

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Blume, Christian. Programming languagesfor industrial robots. Berlin: Springer-Verlag, 1986.

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Robots 12 and Vision '88 Conference (1988 Detroit, Mich.). Robots 12 and Vision '88 Conference. Dearborn, Mich: Society of Manufacturing Engineers, 1988.

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Book chapters on the topic "Industrial Robots"

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Frigeni, Fabrizio. "Industrial Robots." In Industrial Robotics Control, 1–17. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8989-1_1.

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Sharma, Vikram, Vikrant Sharma, and Om Ji Shukla. "Industrial Robots." In Principles and Practices of CAD/CAM, 280–304. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003350842-14.

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Chen, Robert H., and Chelsea Chen. "Industrial Robots." In Artificial Intelligence, 249–55. 2nd ed. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003463542-28.

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Inaba, Yoshiharu, and Shinsuke Sakakibara. "Industrial Intelligent Robots." In Springer Handbook of Automation, 349–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78831-7_21.

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From, Pål Johan, Jan Tommy Gravdahl, and Kristin Ytterstad Pettersen. "Field Robots." In Advances in Industrial Control, 355–68. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5463-1_12.

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Appleton, E., and D. J. Williams. "Machining with Robots." In Industrial Robot Applications, 170–86. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3125-1_7.

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Miller, Richard K. "Robots in Industry." In Industrial Robot Handbook, 1–9. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6608-9_1.

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Miller, Richard K. "Robots and Lasers." In Industrial Robot Handbook, 284–97. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6608-9_27.

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Kittl, David, and Martin Kohlmaier. "Industrial Robots in Architecture." In Rob | Arch 2012, 279–82. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1465-0_33.

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Todd, D. J. "Applications of Industrial Robots." In Fundamentals of Robot Technology, 117–49. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-011-6768-0_7.

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Conference papers on the topic "Industrial Robots"

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Vujičić, Vojislav, Gavrilo Bošković, Strahinja Čepić, Nedeljko Dučić, and Ivan Milićević. "Simulation of a Chess Game with an Industrial Robot." In Proceedings TIЕ 2024, 336–39. University of Kragujevac, Faculty of Technical Sciences, Čačak, 2024. http://dx.doi.org/10.46793/tie24.336v.

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This paper presents a simulation of a chess game with an industrial robot designed for educational purposes, focusing on the integration of automation in various industries. By using the FANUC ER-4iA robot in a FANUC educational cell, we explore the robot’s ability to perform precise and complex movements that are important for the chess game. The simulation is carried out using the ROBOGUIDE software, which enables detailed programming and visualization of the robot’s movements. The process includes configuring the coordinate system, defining the robot’s gripper parameters and programming the robot to precisely manipulate the chess pieces on a virtual chessboard. The results show that the robot performs the set tasks efficiently and demonstrates its educational potential in teaching robotics concepts and programming skills. Although the simulated application showed high precision in motion execution, certain limitations were noted in automation has become a key factor in increasing efficiency and productivity in various industries. Industrial robots have established themselves as indispensable tools in this process, enabling the automation of complex and repetitive tasks with a high degree of precision and reliability. This paper explores the application of industrial robots for educational purposes terms of the robot’s reach and carrying capacity.
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Kuts, Vladimir, Tauno Otto, Toivo Tähemaa, Khuldoon Bukhari, and Tengiz Pataraia. "Adaptive Industrial Robots Using Machine Vision." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86720.

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The use of industrial robots in modern manufacturing scenarios is a rising trend in the engineering industry. Currently, industrial robots are able to perform pre-programmed tasks very efficiently irrespective of time and complexity. However, often robots encounter unknown scenarios and to solve those, they need to cooperate with humans, leading to unnecessary downtime of the machine and the need for human intervention. The main aim of this study is to propose a method to develop adaptive industrial robots using Machine Learning (ML)/Machine Vision (MV) tools. The proposed method aims to reduce the effort of re-programming and enable self-learning in industrial robots. The elaborated online programming method can lead to fully automated industrial robotic cells in accordance with the human-robot collaboration standard and provide multiple usage options of this approach in the manufacturing industry. Machine Vision (MV) tools used for online programming allow industrial robots to make autonomous decisions during sorting or assembling operations based on the color and/or shape of the test object. The test setup consisted of an industrial robot cell, cameras and LIDAR connected to MATLAB through a Robot Operation System (ROS). The online programming tests and simulations were performed using Virtual/Augmented Reality (VR/AR) toolkits together with a Digital Twin (DT) concept, to test the industrial robot program on a digital object before executing it on the real object, thus creating a safe and secure test environment.
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Antonelli, Dario, and Giulia Bruno. "Human-Robot Collaboration Using Industrial Robots." In 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/eame-17.2017.24.

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Ghim, Yong-Gyun. "Designing Mobile Robots: A Systems Thinking Approach for Industrial Designers." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002024.

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With robots’ presence gradually expanding to homes and public spaces, there are increasing needs for new robot development and design. Mobile robots’ autonomous and dynamic behaviors ask for new design approaches and methods that are different from the ones for designing non-robotic products. This study proposes a methodology for designing mobile robots from a systems thinking perspective to supplement the limitation of traditional industrial design approaches. A conceptual framework consisting of user, robot, and environment is proposed and task flow models are built to help designers analyze and specify complex interactions between multiple system elements. A robot system blueprint, a storyboard, and a system map are subsequently introduced to design and represent a product-service system of a robot holistically. This approach was applied to student projects for mobile robot design in a fourth-year studio course at a university’s industrial design program.
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Tarkian, Mehdi, Johan O¨lvander, Xiaolong Feng, and Marcus Petterson. "Design Automation of Modular Industrial Robots." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87271.

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This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process. To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.
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Rabb, Ethan, Isaac Hagberg, Alex Murphy, Steven Butts, Skander Guizani, John Rogers, Joseph L. Heyman, and Steven Crews. "Multi-Tiered Safety for Dynamic Autonomous Warehouse Robots." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95985.

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Abstract The purpose of this project is to safely integrate robots and humans into industrial processes. The most prevalent current solution to the problem of safe integration of robots and humans is to place the robots in cages to separate the workspaces of humans and robots. The cages prevent humans from entering the robot’s workspace and prevent any contact between the two entities. However, cages present an inefficiency in the industrial process as they require additional space and do not allow a seamless integration of robots and humans. This paper proposes a multi-tiered safety system that combines vision and torque feedback safety measures that can stop robot movement. The vision safety system proposed detects foreign movement in the camera frame and stops the robot’s motion. The torque system proposed detects unexpected torques in the robot’s motors and stops the robot’s motion. The results show that both safety systems can effectively stop robot motion if an unsafe condition is detected. For the industrial process of interest, the multi-tiered safety system is expected to lay the foundation for future integration of humans and robots on the industrial process. Contributions to the academic community for this paper are a multi-tiered safety system for robots in industrial processes, a machine learning circle detection algorithm, and a novel end-of-arm-tooling (EOAT) for the industrial process of interest.
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Higgins, Colm, Lauren McGarry, Joe Butterfield, and Adrian Murphy. "Machine Learning Methods to Improve the Accuracy of Industrial Robots." In 2023 AeroTech. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1000.

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<div class="section abstract"><div class="htmlview paragraph">There has been an ongoing need to increase the application of industrial robots to complete high-accuracy aerospace manufacturing and assembly tasks. However, the success of this is dependent on the ability of robotic systems to meet the tolerance requirements of the sector. Machine learning (ML) robot error compensation models have the potential to address this challenge. Artificial neural networks (ANNs) have been successful in increasing the accuracy of industrial robots. However, they have not always brought robotic accuracy within typical aerospace tolerances. Methods that have not yet been investigated to further optimize the use ANNs used in ML robot error compensation methods are presented in this paper. The focus of ML compensation methods has dominantly surrounded ANNs; there have been little to no investigations into other types of ML algorithms for their suitability as robot error compensation models. The success of ANNs to date proves the capability of ML algorithms for this task, and therefore other ML algorithms should be investigated to determine their capability to potentially improve industrial robot accuracy. This paper takes a novel approach by investigating the Support Vector Regression (SVR) ML algorithm to compensate for robot error. The ML models in this research were trained using measurement data captured using a laser tracker and collaborative robot. The ANN model reduced the mean error by 46.4%, 94.8%, and 95.8%, in the x, y, and z-axis, respectively. The SVR model reduced the mean error by 42.4%, 95.9%, and 98.4%, in the x, y, and z-axis, respectively, demonstrating its ability to be implemented as a robotic error compensation model. The success of both the ANN and SVR algorithms enforces the need for further research into other ML algorithms as robot error compensation models, and there is also still potential to further optimize the algorithms used.</div></div>
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Millo, Francesco, Maria Gesualdo, Federico Fraboni, and Davide Giusino. "Human Likeness in robots: Differences between industrial and non-industrial robots." In ECCE 2021: European Conference on Cognitive Ergonomics 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3452853.3452886.

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Dumas, Claire, Stéphane Caro, Sébastien Garnier, and Benoît Furet. "Workpiece Placement Optimization of Six-Revolute Industrial Serial Robots for Machining Operations." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82559.

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Roboticists are faced with new challenges in robotic-based manufacturing. Up to now manufacturing operations that require both high stiffness and accuracy have been mainly realized by using computer numerical control machine tools. This paper aims to show that manufacturing finishing tasks can be performed with robotic cells knowing the process cutting phenomena and the robot stiffness throughout its Cartesian workspace. It makes sense that the finishing task of large parts would be cheaper with robots. However, machining robots have not been adapted for such operations yet. As a consequence, this paper introduces a methodology that aims to determine the best placement of the workpiece to be machined knowing the cutting forces exerted on the tool and the elastostatic model of the robot. In this vein, a machining quality criterion is proposed and an optimization problem is formulated. The KUKA KR270-2 robot is used as an illustrative example throughout the paper.
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Jin, Lixue, Wenjun Xu, Zhihao Liu, Junwei Yan, Zude Zhou, and Duc Truong Pham. "Knowledge Sharing and Evolution of Industrial Cloud Robotics." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6538.

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Industrial Cloud Robotics (ICR), with the characteristics of resource sharing, lower cost and convenient access, etc., can realize the knowledge interaction and coordination among cloud Robotics (CR) through the knowledge sharing mechanism. However, the current researches mainly focus on the knowledge sharing of service-oriented robots and the knowledge updating of a single robot. The interaction and collaboration among robots in a cloud environment still have challenges, such as the improper updating of knowledge, the inconvenience of online data processing and the inflexibility of sharing mechanism. In addition, the industrial robot (IR) also lacks a well-developed knowledge management framework in order to facilitate the knowledge evolution of industrial robots. In this paper, a knowledge evolution mechanism of ICR based on the approach of knowledge acquisition - interactive sharing - iterative updating is established, and a novel architecture of ICR knowledge sharing is also developed. Moreover, the semantic knowledge in the robot system can encapsulate knowledge of manufacturing tasks, robot model and scheme decision into the cloud manufacturing process. As new manufacturing tasks arrived, the robot platform downloads task-oriented knowledge models from the cloud service platform, and then selects the optimal service composition and updates the cloud knowledge by simulation iterations. Finally, the feasibility and effectiveness of the proposed architecture and approaches are demonstrated through the case studies.
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Reports on the topic "Industrial Robots"

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Gihleb, Rania, Osea Giuntella, Luca Stella, and Tianyi Wang. Industrial Robots, Workers' Safety, and Health. Cambridge, MA: National Bureau of Economic Research, June 2022. http://dx.doi.org/10.3386/w30180.

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Vargas Neira, Luis Fernando. Modelamiento de soluciones robóticas y electromecánicas. Escuela Tecnológica Instituto Técnico Central, 2023. http://dx.doi.org/10.55411/2023.21.

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A nivel industrial se tienen procesos que aún son desarrollados por operarios y que pueden ser considerados de alto riesgo. Tareas repetitivas que pueden ser automatizadas de forma sencilla por sistemas electromecánicos basados en automatizaciones no complejas. Otro aspecto que se puede trabajar y en el cual es posible aportar desde el semillero tiene que ver con el modelamiento de trayectorias de robots usando la herramienta MatLab. Dando aplicación al álgebra líneal es otro aspecto que se propone trabajar, para ello se considera tomar robots industriales y a partir de sus especificaciones técnicas generar modelos y con ellos diseñar trayectorias que permitan dar solución a problemas de la industria.
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Kornelakis, Andreas, Chiara Benassi, Damian Grimshaw, and Marcela Miozzo. Robots at the Gates? Robotic Process Automation, Skills and Institutions in Knowledge-Intensive Business Services. Digital Futures at Work Research Centre, May 2022. http://dx.doi.org/10.20919/vunu3389.

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Against the backdrop of the fourth industrial revolution, this paper examines the emergence of Robotic Process Automation (RPA) as one of the new technologies that are shaping the future of work and reconfiguring sectoral business and innovation systems and models. It discusses how the institutional context can potentially mediate the digital transformation of services, how RPA affects workers’ employment and skills, and how it alters inter-organisational relationships and capabilities. Bringing together different strands of academic literature on employment studies, innovation, and technology studies, it deploys a comparative institutional perspective to explore the potential effects of RPA and illustrates their plausibility through mini case studies from knowledge-intensive business services
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Michaloski, John L. Coordinated joint motion for an industrial robot. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nbs.ir.88-3735.

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Hsia, T. Feasibility study of using industrial robot for ultrasound testing. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/5367347.

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Liu, Yongkang, Mohamed Hany, Karl Montgomery, and Richard Candell. A Collaborative Robot Work-Cell Testbed for Industrial Wireless Communications. National Institute of Standards and Technology, May 2021. http://dx.doi.org/10.6028/nist.ir.8365.

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Ravi, Atul. The Impact of Robots and Automation Systems on Globalization: A Comprehensive Analysis. Intellectual Archive, February 2024. http://dx.doi.org/10.32370/iaj.3032.

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In recent years, the use of robots across various industries has grown paramount. Robots and automation technologies have played a significant impact in various aspects including productivity growth, reshoring opportunities, and customization capabilities for consumers, and have also helped foster international collaboration between nations and businesses. This article does an empirical analysis with the help of case studies to analyse the impact of automation and robots on various industries by discussing their pros and cons. It is also found that although robots have a very positive impact in various spheres of manufacturing, nation development, and helping people, it is that robots are to be implemented with appropriate care to prevent the displacement of people in various economies while also generating jobs for many.
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Logistics and Delivery. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, September 2023. http://dx.doi.org/10.4271/epr2023021.

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<div class="section abstract"><div class="htmlview paragraph">Like the shift from horse drawn carriages to cars, the emergence of delivery robots marks a shift from driverless vehicles to automated logistics vehicles where form follows function. On paper, the business cases are compelling and the use cases seemingly unbounded. Vehicles may be conventional in the form of trucks and industrial equipment of all types, or as purpose-built vehicles on with widely varying cargo capacities. Proof of concepts and pilots are moving forward on roadways, sidewalks, and doorsteps, as well as in low altitude airways, ports, and even inside of buildings.</div><div class="htmlview paragraph"><b>Automated Vehicles and Infrastructure Enablers: Logistics and Delivery</b> addresses the current state of the industry, benefits of ADVs, challenges, and expanding use. It also touches on opportunities to design, modify, and expand infrastructure—both digital and physical—to supports safe and equitable usage. The report draws on experience and research on these topics in North America, the United Kingdom, the European Union, Australia, and the United Arab Emirates, among others.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>
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Will, Frank. Automatisierte Baumaschinen und Robotik. GWT-TUD GmbH, 2023. http://dx.doi.org/10.25368/2023.127.

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Die Bauwirtschaft sieht sich gegenwärtig und wohl auch in naher Zukunft mit einer großen Nachfrage nach Baumaßnahmen zur Schaffung von Wohnungen und Infrastruktur konfrontiert. Diesem Bedarf stehen ein nicht zu übersehender Mangel an Fachkräften und zunehmende Regularien und Qualitätserwartungen während des gesamten Bauprozesses gegenüber. Verglichen mit anderen Wirtschaftsbereichen hat die Baubranche zudem erheblichen Nachholbedarf im Hinblick auf ihre Produktivitätsentwicklung. So zeigen dahingehend nahezu alle Industrie- und Dienstleistungsbereiche einen mehr oder weniger kontinuierlich ansteigenden Trend, wohingegen die Produktivität in der Bauwirtschaft seit Jahrzehnten stagniert. Um diesen Anforderungen erfolgreich begegnen zu können, bieten die aktuell in allen Bereichen diskutierten Digitalisierungsansätze auch bei Baumaßnahmen und Baumaschinen nicht unerhebliches Potenzial. Dennoch gibt es bisher nur eine vergleichsweise geringe Durchdringung des Marktes mit industriell tauglichen Digitalisierungslösungen in der Bauwirtschaft. Vor diesem Hintergrund entstand das vorliegende Gutachten zum Thema „Automatisierte Baumaschinen und Robotik“, welches im Wesentlichen auf die Möglichkeiten und Grenzen der Automatisierung etablierter Baumaschinen durch die Integration verfügbarer Technologien zielt. Darüber hinaus werden neuartige und für den Einsatz in der Bauwirtschaft speziell konzipierte Technologien und Maschinen betrachtet. Dabei gewährt das Gutachten einen freien Blick auf den aktuellen Stand angewandter Technologien, Prozesse und Maschinen, zeigt weiterführend erkennbare Entwicklungstrends auf und klassifiziert Potenziale zur Effizienz-, Qualitäts- und Produktivitätssteigerung.
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Darner, G. A generic specification for an electric drive industrial robot: Topical report. Office of Scientific and Technical Information (OSTI), November 1986. http://dx.doi.org/10.2172/7111807.

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