Academic literature on the topic 'Industrial Robots'

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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 (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
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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 (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 adopt
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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 improv
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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 (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-
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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 (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 th
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Ehrenman, Gayle. "Eyes on the Line." Mechanical Engineering 127, no. 08 (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 robo
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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 (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” i
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Fang, Yanjiang, Hongli Gao, Yuncong Lei, and Zhichao You. "Research on 3D monitoring and trajectory self determination system for industrial robots based on digital twins." Journal of Physics: Conference Series 3019, no. 1 (2025): 012086. https://doi.org/10.1088/1742-6596/3019/1/012086.

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Abstract Industrial robots have a wide range of applications in the field of intelligent manufacturing, but most of the field monitoring is in a single form, not intuitive, and has low transparency; Furthermore, industrial robots can achieve repeatability up to the micron level. However, during operation, the axes may deviate from each other, and there may even be uncontrolled movements that do not follow the set trajectory. This could lead to robot collisions and equipment damage. To facilitate comprehensive monitoring of the operating status of industrial robots and to determine their trajec
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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
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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 (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 wel
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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 Operati
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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<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica<br>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<br>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 compens
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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, inves
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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, Sweedi
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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.<br>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. Business Communications Co., 1986.

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

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

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Schuler, Charles A. Modern industrial electronics. Glencoe, 1993.

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Schuler, Charles A. Modern industrial electronics. Glencoe, 1993.

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

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Mair, Gordon M. Industrial robotics. Prentice Hall, 1988.

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

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

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Robots 12 and Vision '88 Conference (1988 Detroit, Mich.). Robots 12 and Vision '88 Conference. 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. 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. 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, 2nd ed. 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. 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. 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. 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. 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. 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. Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1465-0_33.

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Youssef, Helmi A., Hassan A. El-Hofy, and Mahmoud H. Ahmed. "Industrial Robots and Hexapods." In Manufacturing Technology, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003373209-19.

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Conference papers on the topic "Industrial Robots"

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Soudani, Mohamed Lamine, Salah Nissabouri, Moulay El Houssine Ech-Chhibat, Mohamed Haidoury, and Idriss Elhirch. "Industrial Robots and Collaborative Robots: A Comparative Study." In 2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). IEEE, 2025. https://doi.org/10.1109/iraset64571.2025.11008132.

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Florescu, Mihaela Cecilia, Ionel Dănuț Savu, Damjan Klobcar, Ines Pires, and Robert Florescu. "Integration of Robots in the Digital and Green Welding Processes." In Advances in Engineering and Management. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-i3kmbl.

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Robot welding is the utilization of industrial robots to automate and execute welding tasks. The robots are outfitted with specialized welding tools and equipment that allow them to manage the welding flame and produce welds with accuracy and uniformity. Robot welding has several benefits, such as enhanced efficiency, superior weld quality, and decreased labor expenses. It is extensively utilized in diverse industries such as automobile production, aerospace, fabrication, and others. The paper deals with the change that will occur at the production level in the field of welding engineering.
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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. 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
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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 reduc
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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). 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
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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, et al. "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 th
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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. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1000.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;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
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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. ACM, 2021. http://dx.doi.org/10.1145/3452853.3452886.

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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. National Bureau of Economic Research, 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 té
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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, 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
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Jaccoud, Florencia. Robots & AI Exposure and Wage Inequality: A Within Occupation Approach. UNU-MERIT, 2025. https://doi.org/10.53330/eajl3597.

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This paper examines the linkages between occupational exposure to recent automation technologies and inequality across 19 European countries. Using data from the European Union Structure of Earnings Survey (EU-SES), a fixed-effects model is employed to assess the association between occupational exposure to artificial intelligence (AI) and to industrial robots - two distinct forms of automation -and within occupation wage inequality. The analysis reveals that occupations with higher exposure to robots tend to have lower wage inequality, particularly among workers in the lower half of the wage
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Michaloski, John L. Coordinated joint motion for an industrial robot. 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), 1989. http://dx.doi.org/10.2172/5367347.

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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Logistics and Delivery. SAE International, 2023. http://dx.doi.org/10.4271/epr2023021.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;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 i
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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, 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, 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 i
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