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: 13 July 2024

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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 (August 18, 2020): 179–86. http://dx.doi.org/10.1007/s43154-020-00027-0.

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Abstract Purpose of Review Industry is changing; converging technologies allow a fourth Industrial Revolution, where it is envisaged that robots will work alongside humans. We investigate how the research community is responding to the ethical, legal, and social aspects of industrial robots, with a primary focus on manufacturing industry. Recent Findings The literature shows considerable interest in the impact of robotics and automation on industry. This interest spans many disciplines, which is to be expected given that the ELS impacts of industrial robotics may be profound in their depth and far-reaching in their scope. Summary We suggest that the increasing importance of human-robot interaction (HRI) reduces the differentiation between industrial robotics and other robotic domains and that the main challenges to successful adoption for the benefit of human life are above all political and economic. Emerging standards and legal frameworks may scaffold this success, but it is apparent that getting it wrong might have repercussions that last for generations.
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Fu, Junling, Alberto Rota, Shufei Li, Jianzhuang Zhao, Qingsheng Liu, Elisa Iovene, Giancarlo Ferrigno, and Elena De Momi. "Recent Advancements in Augmented Reality for Robotic Applications: A Survey." Actuators 12, no. 8 (August 13, 2023): 323. http://dx.doi.org/10.3390/act12080323.

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Robots are expanding from industrial applications to daily life, in areas such as medical robotics, rehabilitative robotics, social robotics, and mobile/aerial robotics systems. In recent years, augmented reality (AR) has been integrated into many robotic applications, including medical, industrial, human–robot interactions, and collaboration scenarios. In this work, AR for both medical and industrial robot applications is reviewed and summarized. For medical robot applications, we investigated the integration of AR in (1) preoperative and surgical task planning; (2) image-guided robotic surgery; (3) surgical training and simulation; and (4) telesurgery. AR for industrial scenarios is reviewed in (1) human–robot interactions and collaborations; (2) path planning and task allocation; (3) training and simulation; and (4) teleoperation control/assistance. In addition, the limitations and challenges are discussed. Overall, this article serves as a valuable resource for working in the field of AR and robotic research, offering insights into the recent state of the art and prospects for improvement.
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Olszewski, Mariusz. "Modern Industrial Robotics." Pomiary Automatyka Robotyka 24, no. 1 (March 16, 2020): 5–20. http://dx.doi.org/10.14313/par_235/5.

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

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

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

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A review of robotic systems is presented. The paper analyzes applied hardware and software solutions and summarizes the most common block diagrams of control systems. The analysis of approaches to control systems scaling, the use of intelligent control, achieving fault tolerance, reducing the weight and size of control system elements belonging to various classes of robotic systems is carried out. The goal of the review is finding common approaches used in various areas of robotics to build on their basis a uniform methodology for designing scalable intelligent control systems for robots with a given level of fault tolerance on a unified component base. This part is dedicated to industrial robotics. The following conclusions are made: scaling in industrial robotics is achieved through the use of the modular control systems and unification of main components; multiple industrial robot interaction is organized using centralized global planning or the use of previously simulated control programs, eliminating possible collisions in working area; intellectual technologies in industrial robotics are used primarily at the strategic level of the control system which is usually non-real time, and in some cases even implemented as a remote cloud service; from the point of view of ensuring fault tolerance, the industrial robots developers are primarily focused on the early prediction of faults and the planned decommissioning of the robots, and are not on highly-avaliability in case of failures; industrial robotics does not impose serious requirements on the dimensions and weight of the control devices.
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Harrison, William, Anthony Downs, and Craig Schlenoff. "The Agile Robotics for Industrial Automation Competition." AI Magazine 39, no. 4 (December 1, 2018): 73–76. http://dx.doi.org/10.1609/aimag.v39i4.2795.

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The Agile Robotics for Industrial Automation Competition (ARIAC) is an annual simulation-based competition initiated in 2017. The competition challenges teams to design industrial robotic system control code to function in a dynamic environment. Each team’s system is faced with challenges such as dropped parts, and must address these challenges and continue to function without operator intervention.
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Aggogeri, Francesco, Nicola Pellegrini, and Claudio Taesi. "Towards Industrial Robots’ Maturity: An Italian Case Study." Robotics 13, no. 3 (March 3, 2024): 42. http://dx.doi.org/10.3390/robotics13030042.

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This paper aims to investigate the impact of industrial robotics, examining the process integration in a sample of +600 companies located in the Province of Brescia, an intensive industrial area in the North of Italy. Through a detailed economic investigation, this study analyses the adoption of robotic solutions in companies of varying sizes, using a survey and financial databases to investigate the most used types of robots, their applications, the impacts at the operational and personnel level, and the companies’ growth (sales, employees, other). The results highlight a significant presence of robotic solutions, particularly articulated robots, in the large companies involved. Robotics diffusion positively correlates with significant improvements in terms of productivity and quality. The introduction of robots is associated with increased corporate growth indicators, including staff expansion. Large companies demonstrate a superior ability to adapt to these technologies, supported by more significant financial resources and a wide range of internal competencies for managing robots. Furthermore, large companies proactively hire qualified personnel or initiate internal training courses. Small and medium-sized enterprises (SMEs), although currently less equipped with robotic technologies, exhibit a significant interest in future adoption, highlighting the opportunity for growth and innovation. The results suggest that integrating robotics in the manufacturing sector not only constitutes an effective means to enhance operational performance but also acts as a catalyst for developing human capital and strengthening the local economy.
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Chioreanu, Adrian, Stelian Brad, and Emilia Brad. "Knowledge Modelling of E-Maintenance in Industrial Robotics." Advanced Engineering Forum 8-9 (June 2013): 603–10. http://dx.doi.org/10.4028/www.scientific.net/aef.8-9.603.

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Nowadays providers of maintenance and support related to industrial robotics are facing major challenges. Equipment producers around the world are urged to make significant efforts in order to provide high value added services in addition to their traditional product development and manufacturing business. A focal problem with maintenance as well as support of industrial robotics is the need to manage the ever-increasing information flow and system complexity of production cells that incorporate equipment from different producers. In this context, a novel ontology-based representation model is developed for the sharing and use of maintenance knowledge in the robotic field.
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Joby, P. P. "Wireless Control of Swarm Robotics for Industrial Automation." IRO Journal on Sustainable Wireless Systems 4, no. 3 (September 15, 2022): 202–11. http://dx.doi.org/10.36548/jsws.2022.3.007.

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In the modern world, robots and robotic technologies are engaged extensively in industrial automation. The performance of the collaborative robots has resulted in utilizing them as primary forces in industries. In this paper, we propose the concept of swarm robotics to address the drawbacks of industrial automation. Wireless communication established in the robots and the control systems enabling automation. Swarm robotics is a technology where multiple robots together solve issues by developing advantageous structures and behaviors replicating nature like swarms of bees, fish or birds. Wireless technologies (4G, 5G and Wi-Fi) are employed that aids in controlling of multiple robots in distributed locations.
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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 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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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.
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 environment and at lower production costs. A robot is a reprogrammable general-purpose manipulator with external sensors that can perform various assembly tasks. A robot may possess intelligence, which is normally due to computer algorithms associated with its controls and sensing systems. Industrial robots are general-purpose, computer-controlled manipulators consisting of several rigid links connected in series by revolute or prismatic joints. Most of today’s industrial robots, though controlled by mini and microcomputers are basically simple positional machines. They execute a given task by playing back a prerecorded or preprogrammed sequence of motion that has been previously guided or taught by the hand-held control teach box. Moreover, these robots are equipped with little or no external sensors for obtaining the information vital to its working environment. As a result robots are used mainly for relatively simple, repetitive tasks. More research effort has been directed in sensory feedback systems, which has resulted in improving the overall performance of the manipulator system. An example of a sensory feedback system would be: a vision Charge-Coupled Device (CCD) system. This can be utilized to manipulate the robot position dependant on the surrounding robot environment (various object profile sizes). This vision system can only be used within the robot movement envelope
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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.
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 the department and provide tools to assist in future research in robotic manipulators and control. The proposed software solution uses a client/server model running over an IP-based network providing online and offline programming with visual feedback by means of video streaming and 3D simulations, developed as separate modules combined into an effective tool for future research and development.
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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 part recognition are developed. Edge vector representation is discussed. Object geometric features are extracted. Fuzzy logic is successfully utilized to enhance the intelligence of the system. The generic fuzzy logic algorithm, which may also find application in other fields, is presented. Model-based gripping planning algorithm which is capable of extracting object grasp features from its geometric features and reasoning out grasp model for objects with different geometry is proposed. Manipulator trajectory planning solves the problem of generating robot programs automatically. Object-oriented programming technique based on Visual C++ MFC is used to constitute the system software so as to ensure the compatibility, expandability and modular programming design. Hierarchical architecture for intelligent gripping is discussed, which partitions the robot’s functionalities into high-level (modeling, recognizing, planning and perception) layers, and low-level (sensing, interfacing and execute) layers. Individual system modules are integrated seamlessly to constitute the intelligent gripping system.
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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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Paul, Hallam, ed. Industrial robotics. Oxford: Heinemann Newnes, 1990.

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

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

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Fundamentals of industrial robots and robotics. Boston, Mass: PWS-KENT Pub. Co., 1988.

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

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Frigeni, Fabrizio. Industrial Robotics Control. Berkeley, CA: 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. New York: McGraw-Hill, 1986.

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Industrial robotics: Practical applications for implementing robotic automation. New York: Industrial Press, 2008.

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1946-, Nof Shimon Y., ed. Handbook of industrial robotics. New York: J. Wiley, 1985.

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

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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, 963–86. Berlin, Heidelberg: 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, 405–32. Vienna: 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, 1385–422. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32552-1_54.

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Vermeulen, Andreas François. "Robotics Revolution." In Industrial Machine Learning, 383–413. Berkeley, CA: 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, 195–204. Cham: 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, 1–17. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8989-1_1.

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Mihelj, Matjaž, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik, Marko Munih, Jure Rejc, and Sebastjan Šlajpah. "Accuracy and Repeatability of Industrial Manipulators." In Robotics, 231–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72911-4_15.

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Miller, Richard K. "Clean Room Robotics." In Industrial Robot Handbook, 321–30. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6608-9_32.

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Hoffmann, Alwin, Andreas Angerer, and Wolfgang Reif. "Industrial Robot Programming." In Encyclopedia of Robotics, 1–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-642-41610-1_3-1.

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Hoffmann, Alwin, Andreas Angerer, and Wolfgang Reif. "Industrial Robot Programming." In Encyclopedia of Robotics, 1–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-642-41610-1_3-2.

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Conference papers on the topic "Industrial Robotics"

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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 extensive physical resources and minimizes safety concerns. This paper introduces the Intelligent Learning Platform for Robotics Operations (IL-PRO), an innovative project that integrates the use of Artificial Intelligence (AI), Virtual Reality (VR), and game-assisted learning for teaching robotic arms operations. The goal of this project is to address the limitations of traditional training through the implementation of personalized learning strategies supported by Adaptive Learning Systems (ALS). These systems hold the potential to transform education by customizing content to cater to various levels of understanding, preferred learning styles, past experiences, and diverse linguistic and socio-cultural backgrounds.Central to IL-PRO is the development of its ALS, which uses student progress variables and multimodal machine learning to infer students’ level of understanding and automate task and feedback delivery. The curriculum is organized into modules, starting with fundamental robotic concepts, and advancing to complex motion planning and programming. The curriculum is guided by a learner model that is continuously refined through data collection. Furthermore, the project incorporates gaming elements into its VR learning approach to create an engaging educational environment. Thus, the learning content is designed to engage students with simulated robots and input devices to solve sequences of game-based challenges. The challenge sequences are designed similarly to levels in a game, each with increasing complexity, in order to systematically incrementally build students' knowledge, skills, and confidence in robotic operations. The project is conducted by a team of interdisciplinary faculty from Florida International University (FIU), the University of California Irvine (UCI), the University of Hawaii (UH) and the University of Kansas-Missouri (UKM). The collaboration between these institutions enables the sharing of resources and expertise that are essential for the development of this comprehensive learning platform.
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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 (SM) is the developing orientation of future manufacturing industry. The energy consumption optimization of ICR is the crucial issue for manufacturing sustainability. However, currently, ICR systems are not programmed efficiently, which leads to the increase of production costs and pollutant emissions. Thus, it is an actual problem to optimize the energy consumption of ICR. In this paper, in order to achieve the goal of energy consumption optimization in worldwide range, the framework of ICR towards sustainable manufacturing is presented, as well as its enabling methodologies, and it is used to support energy consumption optimization services of ICR in the Cloud environment. This framework can be used to support energy-efficient services related with ICR to realize sustainable manufacturing in the worldwide range.
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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 traditional manufacturing task-oriented service composition is limited to execution in the cloud, and it is separated from the underlying robot equipment control, which greatly reduces the real-time performance and accuracy of the underlying service response, such as Robotic Control as a Cloud Service (RCaaCS). Therefore, this paper proposes a digital twin-based control approach for ICR. At the manufacturing cell level, robots’ control instruction service modeling is conducted, and then the control service in the digital world is mapped to the robot action control in the physical world through the concept of digital twin. The accumulated operational data in the physical world can be fed back to the digital world as a reference for simulation and control strategy adjustment, finally achieving the integration of cloud services and robot control. A case study based on workpiece disassembly is presented to verify the availability and effectiveness of the proposed control approach.
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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 printing, machine learning, virtual and augmented reality (AR), artificial intelligence, and productive maintenance. Advanced robotics is one of the most important technologies in Industry 4.0. The robotic application in the automation of production processes, with the support of information technology, leads us to ‘’smart automation’’, i.e., ‘’smart factory’’. The changes are so profound that, from the perspective of human history, there has never been a time of greater promise or potential danger. New generation robots have many advantages compared to the firstgeneration industrial robots such as: they work alongside with workers, workers perform their tasks in a safe environment, robots take up less space, robots do not need to be separated by fences, robots are easy to manipulate and cheaper to implement. The paper analyzes the trend of implementation of collaborative and service robots for logistics, which make the automation of production processes more flexible. Robotic technology is the basic technology of Industry 4.0, because without its application, the implementation of Industry 4.0 would not be possible. The trend of application of new generation robots will have an increasing character in the future, because the goals of the fourth industrial revolution cannot be achieved without collaborative robots. In other words, the objective is to achieve a ‘’smart production process’’ or ‘’smart factory’’.
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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, communication buses and other kinds of automation tools. Gazebo is used as the open-source 3D simulator to design a virtual industrial robotic system, which is a prevailing tool as a node in the ROS environment. An effort is underway to replicate the in-house experimental robotic kitting lab with a graphical physics simulation that can be shared worldwide. This graphical physics simulation is not tied to a specific robotic control system. An experimental approach will be presented detailing the issues related to a physics based simulation of kitting with multiple collaborative robots, multiple tools, parts, tool changers, safety system, and sensors. In this realm, the ability for the simulation environment to encompass the current system as well as additional more complex sensors and actuators will be discussed. To make this simulation environment more realistic, Gaussian noise will be introduced to the data generated by virtual sensors. We expect that this experimental approach will be a seamless way for users to verify and validate their control systems even if they do not have a physical robot at their facilities.
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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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"Industrial robotics and application technology." In 2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016. http://dx.doi.org/10.1109/icit.2016.7475066.

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Gerbig, Volker. "Laser scanning in industrial robotics." In Electronic Imaging Device Engineering, edited by Leo Beiser and Reimar K. Lenz. SPIE, 1993. http://dx.doi.org/10.1117/12.165205.

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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), November 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. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada580558.

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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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Russell, J. A., and G. J. Hane. Tribological sinks in emerging industries: electronics and robotics. Office of Scientific and Technical Information (OSTI), August 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. Cambridge, MA: National Bureau of Economic Research, June 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 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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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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Rivera Picado, Carlo Magno, Lucia Latorre, Eduardo Rego, Lorenzo De Leo, and Mariana Gutierrez. Tech Report: RPA. Inter-American Development Bank, June 2024. http://dx.doi.org/10.18235/0013018.

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The scalability of RPA allows companies to adjust their robotic workforce according to fluctuating demands, improving not only operational efficiency but also employee satisfaction and strategic focus. With applications ranging from data processing and verification to supply chain management, RPA has become a transformative tool in sectors such as banking, retail, customer support, and human resources management, demonstrating its potential to optimize processes and improve decision-making across a wide range of industries. The adoption of RPA in Latin America, partly driven by the COVID-19 pandemic, highlights its role in accelerated digital transformation, focusing on business continuity, risk reduction, and knowledge generation. Financial institutions and retail companies, in particular, have adopted RPA to enhance operational efficiency and customer service, with successful use cases showing significant time and cost savings, as well as improvements in customer experience.
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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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