Relevant bibliographies by topics / Industrial Robotics

Contents

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

Academic literature on the topic 'Industrial Robotics'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Industrial Robotics"

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Studley, Matthew, and Alan Winfield. "ELSA in Industrial Robotics." Current Robotics Reports 1, no. 4 (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
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Fu, Junling, Alberto Rota, Shufei Li, et al. "Recent Advancements in Augmented Reality for Robotic Applications: A Survey." Actuators 12, no. 8 (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 surge
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Dr.A.Shaji, George. "Advancements in Artificial Intelligence for Industrial Robotics and Intelligent Drones: A Comprehensive Review." Partners Universal Innovative Research Publication (PUIRP) 03, no. 01 (2025): 44–51. https://doi.org/10.5281/zenodo.14911559.

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The way industries run has been transformed by the combination of artificial intelligence (AI) in intelligent drones and industrial robotics. More complicated and efficient robotic systems—which can accomplish difficult tasks with more accuracy and precision—have been made possible by recent developments in artificial intelligence. Covering many facets including collision detection, drone-based surveillance, smart city traffic monitoring, fault detection in robotic arms, and security of industrial robots and drones, this paper offers a detailed analysis of the present situation of
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V., Bharatidevi. "Sensor Applications in Robotics." Research and Development in Machine Design 8, no. 1 (2025): 5–8. https://doi.org/10.5281/zenodo.14831418.

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<em>Sensors play a crucial role in robotics by enabling perception, control, and decision-making, allowing robots to interact intelligently with their environment. This paper explores various sensor technologies used in robotics, including vision sensors, LiDAR, ultrasonic sensors, force/torque sensors, and inertial measurement units (IMUs). The integration of these sensors enhances robotic autonomy in applications such as industrial automation, medical robotics, autonomous vehicles, and humanoid robotics. Recent advancements in AI-driven sensor fusion and edge computing have further improved
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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 (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
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Olszewski, Mariusz. "Modern Industrial Robotics." Pomiary Automatyka Robotyka 24, no. 1 (2020): 5–20. http://dx.doi.org/10.14313/par_235/5.

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

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

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Harrison, William, Anthony Downs, and Craig Schlenoff. "The Agile Robotics for Industrial Automation Competition." AI Magazine 39, no. 4 (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 (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
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Dissertations / Theses on the topic "Industrial Robotics"

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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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Owens, John Patrick. "Industrial robot simulation." Thesis, University of Newcastle Upon Tyne, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308238.

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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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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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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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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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Will, Desmond Jeffrey. "Design and implementation of robotic control for industrial applications." Thesis, Port Elizabeth Technikon, 2004. http://hdl.handle.net/10948/213.

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Background: With the pressing need for increased productivity and delivery of end products of uniform quality, industry is turning more and more to computer-based automation. At the present time, most of industrial automated manufacturing is carried out by specialpurpose machines, designed to perform specific functions in a manufacturing process. The inflexibility and generally high cost of these machines often referred to as hard automation systems, have led to a broad-based interest in the use of robots capable of performing a variety of manufacturing functions in a more flexible working env
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Kotze, Johannes Marthinus Albertus. "TCP/IP facilitated flexible robotics controller." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/2665.

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Thesis (MScEng (Industrial Engineering))--University of Stellenbosch, 2008.<br>Robot control by TCP/IP communication is investigated in this thesis for existing robots used in tertiary education. The request for newer software for robotic computer control came from the University of Stellenbosch Industrial Engineering department where existing software dating back to 1988 is still in use. A thorough investigation into the research and technologies available is followed by a discussion on the proposed software to adhere to the requirement of compatibility with existing languages in use by
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Wang, Jianqiang. "Intelligent gripper design and application for automated part recognition and gripping." Thesis, Port Elizabeth Technikon, 2002. http://hdl.handle.net/10948/102.

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Intelligent gripping may be achieved through gripper design, automated part recognition, intelligent algorithm for control of the gripper, and on-line decision-making based on sensory data. A generic framework which integrates sensory data, part recognition, decision-making and gripper control to achieve intelligent gripping based on ABB industrial robot is constructed. The three-fingered gripper actuated by a linear servo actuator designed and developed in this project for precise speed and position control is capable of handling a large variety of objects. Generic algorithms for intelligent
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Melnyk, Glenn J. "Mechanisms for automated toolhead changing in nuclear steam generator robotics." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06302009-040338/.

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Books on the topic "Industrial Robotics"

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

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

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Paul, Hallam, ed. Industrial robotics. Heinemann Newnes, 1990.

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Figliola, Angelo, and Alessandra Battisti. Post-industrial Robotics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5278-6.

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Frigeni, Fabrizio. Industrial Robotics Control. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-8989-1.

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

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Sam, Cubero, ed. Industrial robotics : theory, modelling and control. Pro-Literatur-Verlaag, 2007.

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Kumar, Kaushik, and B. Sridhar Babu. Industrial Automation and Robotics. CRC Press, 2022. http://dx.doi.org/10.1201/9781003121640.

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Nof, Shimon Y., ed. Handbook of Industrial Robotics. John Wiley & Sons, Inc., 1999. http://dx.doi.org/10.1002/9780470172506.

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Karl, Wojcikiewicz, and Hoekstra Robert L, eds. Industrial robotics and automation. Heathkit/Zenith Educational Systems, 1986.

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Book chapters on the topic "Industrial Robotics"

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Hägele, Martin, Klas Nilsson, and J. Norberto Pires. "Industrial Robotics." In Springer Handbook of Robotics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-30301-5_43.

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Morecki, Adam, and Józef Knapczyk. "Industrial Robotics." In Basics of Robotics. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-2532-8_14.

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Hägele, Martin, Klas Nilsson, J. Norberto Pires, and Rainer Bischoff. "Industrial Robotics." In Springer Handbook of Robotics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32552-1_54.

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Imran, Alishba, and Keerthana Gopalakrishnan. "Industrial Robotics." In AI for Robotics. Apress, 2025. https://doi.org/10.1007/979-8-8688-0989-7_9.

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Vermeulen, Andreas François. "Robotics Revolution." In Industrial Machine Learning. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5316-8_12.

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Ermolov, Ivan. "Industrial Robotics Review." In Studies in Systems, Decision and Control. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37841-7_16.

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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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Miller, Richard K. "Clean Room Robotics." In Industrial Robot Handbook. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6608-9_32.

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Mihelj, Matjaž, Tadej Bajd, Aleš Ude, et al. "Accuracy and Repeatability of Industrial Manipulators." In Robotics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72911-4_15.

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Hoffmann, Alwin, Andreas Angerer, and Wolfgang Reif. "Industrial Robot Programming." In Encyclopedia of Robotics. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-642-41610-1_3-1.

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Conference papers on the topic "Industrial Robotics"

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Bodnar, David, and Károly Jármai. "Frequency Response Optimization of an Industrial Robot Arm." In 10th International Scientific Conference on Advances in Mechanical Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-zerh0a.

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This study contributes to the development of more resilient and responsive control systems for industrial robotics. Industrial robot arms are subject to various vibrational forces during various operations, which can limit their accuracy and response time. This paper studies the vibration characteristics of a robotic arm through real world measurement and Finite Element Analysis (FEA). The robot arm is the MELFA RV-2SDB15. In this paper, the authors determine the dynamic parameters of the examined manipulator. Experimental measurement is carried out with a modal approach. Optimization techniqu
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Stanescu, A. M., A. Nita, M. A. Moisescu, and I. S. Sacala. "From industrial robotics towards intelligent robotic systems." In 2008 4th International IEEE Conference "Intelligent Systems" (IS). IEEE, 2008. http://dx.doi.org/10.1109/is.2008.4670441.

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Vassigh, Shahin, Seth Corrigan, Biayna Bogosian, and Eric Peterson. "Adaptive Immersive Learning Environments for Teaching Industrial Robotics." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004411.

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AI, robotics, and automation are reshaping many industries, including the Architecture, Engineering, and Construction (AEC) industries. For students aiming to enter these evolving fields, comprehensive and accessible training in high-tech roles is becoming increasingly important. Traditional robotics education, while often effective, usually necessitates small class sizes and specialized equipment. On-the-job training introduces safety risks, particularly for inexperienced individuals. The integration of advanced technologies for training presents an alternative that reduces the need for exten
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Liu, Jiayi, Wenjun Xu, Jiaqiang Zhang, Zude Zhou, and Duc Truong Pham. "Industrial Cloud Robotics Towards Sustainable Manufacturing." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8733.

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Cloud Robotics (CR) is the combination of Cloud Computing and Robotics, which encapsulate resources related with robots as services and is also the robotics’ next stage of development. Under this background, due to the characteristics of convenient access, resource sharing and lower costs, industrial cloud robotics (ICR) is proposed to integrate the industrial robots resources in the worldwide to provide ICR services in worldwide. ICR also plays an important role in improving the productivity of manufacturing. In the manufacturing field, Cloud Manufacturing (CM) and Sustainable Manufacturing (
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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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Li, Lan, Wenjun Xu, Zhihao Liu, Bitao Yao, Zude Zhou, and Duc Truong Pham. "Digital Twin-Based Control Approach for Industrial Cloud Robotics." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2920.

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Abstract Industrial robots can be mechanical intelligent agents by integrating programs, intelligent algorithms and facilitating intelligent manufacturing models from cyber world into physical entities. After introducing the concept of cloud, their storage, computing, knowledge sharing and evolution capabilities are further strengthened. Digital twin is an effective means to achieve the fusion of physics and information. Therefore, it is feasible to introduce the digital twin to the industrial cloud robotics (ICR), in order to facilitate the control optimization of robots’ running state. The t
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"Industrial Robotics and Applications." In 2019 IEEE International Conference on Mechatronics (ICM). IEEE, 2019. http://dx.doi.org/10.1109/icmech.2019.8722877.

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Karabegović, Isak, Edina Karabegović, Ermin Husak, and Mehmed Mahmić. "Disruptive Technologies of Industry 4.0: Advanced Robotics and Its Implementation in Production Processes." In BASIC TECHNOLOGIES AND MODELS FOR IMPLEMENTATION OF INDUSTRY 4.0. Academy of Sciences and Arts of Bosnia and Herzegovina, 2023. http://dx.doi.org/10.5644/pi2023.209.09.

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The implementation of disruptive technologies of Industry 4.0 is carried out in all segments of society, but we still do not fully understand the breadth and speed of its application. We are currently witnessing major changes in all industries, so that new business methods are emerging, as well as transformation of production systems, new form of consumption, delivery and transport. All this is happening due to the implementation of disruptive technological discoveries that include: the Internet of Things (IoT), advanced robotics, smart sensors, Big Data, analytics, cloud computing, 3D printin
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Aksu, Murat, John L. Michaloski, and Frederick M. Proctor. "Virtual Experimental Investigation for Industrial Robotics in Gazebo Environment." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87686.

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Measuring the agility performance of the industrial robots as they are performing in unstructured and dynamic environments is a thought-provoking research topic. This paper investigates the development of industrial robotic simulation algorithms for the effective application of robots in those changing environments. The distributed framework for this investigation is the Robot Operating System (ROS) which is extensively used in robotic applications. ROS-Industrial (ROS I), which extends the capabilities of ROS to manufacturing, allows us to interoperate between industrial robots, sensors, comm
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Fariha Baki, Ramisha, Apostolos Kalatzis, and Laura Stanley. "Integrating Robotics, AI, and Immersive Technologies: A Modular Framework for Human-Metahuman-Robot Collaboration." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006373.

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Collaborative robots have been rapidly increasing across industries, particularly in manufacturing settings. This advancement allows humans and robots to work side by side to complete tasks more efficiently. Moreover, with the development of synthetic actors like Metahumans, humans can now enter immersive environments where these Metahumans act as guides and help humans in task executions. However, there is limited implementation of combining both technologies (synthetic actors and collaborative robots) in the industrial field.This paper proposes a system that combines speech recognition, obje
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Reports on the topic "Industrial Robotics"

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Bennett, Bonnie, Mark Boddy, Frank Doyle, Mo Jamshidi, and Tunde Ogunnaike. Assessment Study on Sensors and Automation in the Industries of the Future. Reports on Industrial Controls, Information Processing, Automation, and Robotics. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/1218800.

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Patria, Garett S. Development of a Model-Based Systems Engineering Application for the Ground Vehicle Robotics Sustainment Industrial Base. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada580558.

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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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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Russell, J. A., and G. J. Hane. Tribological sinks in emerging industries: electronics and robotics. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5432492.

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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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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 ans
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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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Navarro, Luke, Shea Hammond, and Richard Johansen. Sensor fusion for aerial robotic system. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49701.

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As uncrewed aerial vehicle (drone) use expands across industries so also does the complexity of sensor payloads. At present, there are no commercially available products for the management and fusion of multisensor data. Sensor Fusion for Aerial Robotic Systems (SFARS) is a sensor agnostic, modular platform for intelligent multisensor data fusion and processing. At the time of writing, SFARS exists as a root codebase, a PC application for processing of previously collected drone data and as a prototype hardware platform for real-time drone deployment. This report serves as a technical users gu
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