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Journal articles on the topic 'Cooperative teleoperation'

Author: Grafiati

Published: 7 September 2021

Last updated: 29 July 2025

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1

Kondo, Daisuke. "Projection Screen with Wide-FOV and Motion Parallax Display for Teleoperation of Construction Machinery." Journal of Robotics and Mechatronics 33, no. 3 (2021): 604–9. http://dx.doi.org/10.20965/jrm.2021.p0604.

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The teleoperation of construction machinery has been introduced to mines and disaster sites. However, the work efficiency of teleoperations is lower than that of onboard operations owing to limitations in the viewing angle and insufficient depth information. To solve these problems and realize effective teleoperations, the Komatsu MIRAI Construction Equipment Cooperative Research Center is developing the next-generation teleoperation cockpit. In this study, we develop a display for teleoperations with a wide field-of-view, a portable projection screen, and a system that reproduces motion paral

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Azimifar, Farhad, Saman Ahmadkhosravi Rozi, Ahmad Saleh, and Iman Afyouni. "Transparency performance improvement for multi-master multi-slave teleoperation systems with external force estimation." Transactions of the Institute of Measurement and Control 40, no. 13 (2017): 3851–59. http://dx.doi.org/10.1177/0142331217740178.

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Cooperative teleoperation combines two traditional areas of robotics, that is, teleoperation and collaborative manipulation. Cooperative telerobotic systems consist of multiple pairs of master and slave robotic manipulators operating in a shared environment. The most common control frameworks for nonlinear systems, that is, Proportional Derivative (PD) controllers, possess considerable deficiency in contact motion. In this paper, a novel control scheme is proposed for a nonlinear bilateral cooperative teleoperation system with time delay. In addition to position and velocity signals, force sig

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Fu, Xiu Hui, and Shu Li Ouyang. "Realization of the Internet Based Telecooperation Robot System." Advanced Materials Research 328-330 (September 2011): 1322–25. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.1322.

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In recent years, internet based telerobotics has become more and more important in our lives and scientific research, there are many scholars dedicated to this research fields, especially the cooperation in the system. So, in order to research the cooperation problems in operator with operator, robot with robot and operator with robot in multi-operator multi-robot teleoperation system, built a two-operator two-robot telecooperation system, realized the two operators control the two robots cooperating with each other to complete items handover respectively. This article has given the solution o

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Sirouspour, S. "Modeling and control of cooperative teleoperation systems." IEEE Transactions on Robotics 21, no. 6 (2005): 1220–25. http://dx.doi.org/10.1109/tro.2005.852254.

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5

SOEDA, Mitsuru, Tadayoshi FURUYA, Tomohiro MOHRI, and Tadashi YAMASHITA. "Human-Robot Cooperative Teleoperation with Time Delay." Transactions of the Japan Society of Mechanical Engineers Series C 64, no. 618 (1998): 590–97. http://dx.doi.org/10.1299/kikaic.64.590.

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DO, Nam Duc, Yusuke YAMASHINA, and Toru NAMERIKAWA. "Multiple Cooperative Bilateral Teleoperation with Time-Varying Delay." SICE Journal of Control, Measurement, and System Integration 4, no. 2 (2011): 89–96. http://dx.doi.org/10.9746/jcmsi.4.89.

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Polushin, Ilia G., and Sergey N. Dashkovskiy. "A Small Gain Framework for Networked Cooperative Teleoperation *." IFAC Proceedings Volumes 43, no. 14 (2010): 90–95. http://dx.doi.org/10.3182/20100901-3-it-2016.00240.

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Ullah, Sehat, Paul Richard, Samir Otmane, Mickael Naud, and Malik Mallem. "Human Performance in Cooperative Virtual Environments: the Effect of Visual Aids and Oral Communication." International Journal of Virtual Reality 8, no. 4 (2009): 79–86. http://dx.doi.org/10.20870/ijvr.2009.8.4.2752.

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The Cooperative virtual environments, where users simultaneously manipulate objects, are one of the subfields of Collaborative virtual environments (CVEs). In this paper we simulate the use of two string based parallel robots in cooperative teleoperation task. Two users setting on separate machines connected through local network operate each robot. In this context, we investigate the effects of visual aids and oral communication on cooperation, co-presence and users performance. Ten volunteers had to cooperatively perform a peg-in-hole task. A second group of ten subjects perform the same tas

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Bacocco, R., and C. Melchiorri. "A Performance and Stability Analysis for Cooperative Teleoperation Systems." IFAC Proceedings Volumes 44, no. 1 (2011): 1096–101. http://dx.doi.org/10.3182/20110828-6-it-1002.01348.

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10

Shahbazi, Mahya, Seyed Farokh Atashzar, Heidar A. Talebi, and Rajni V. Patel. "Novel Cooperative Teleoperation Framework: Multi-Master/Single-Slave System." IEEE/ASME Transactions on Mechatronics 20, no. 4 (2015): 1668–79. http://dx.doi.org/10.1109/tmech.2014.2347034.

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YAMASHINA, Yusuke, and Toru NAMERIKAWA. "A23 Grasping Object by Teleoperation with Multiple Cooperative Robots." Proceedings of the Symposium on the Motion and Vibration Control 2009.11 (2009): 214–19. http://dx.doi.org/10.1299/jsmemovic.2009.11.214.

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12

Takhmar, Amir, Ilia G. Polushin, Ali Talasaz, and Rajni V. Patel. "Cooperative Teleoperation With Projection-Based Force Reflection for MIS." IEEE Transactions on Control Systems Technology 23, no. 4 (2015): 1411–26. http://dx.doi.org/10.1109/tcst.2014.2369344.

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13

Zhu, Sen, Guangming Xiong, Huiyan Chen, and Jianwei Gong. "Guidance Point Generation-Based Cooperative UGV Teleoperation in Unstructured Environment." Sensors 21, no. 7 (2021): 2323. http://dx.doi.org/10.3390/s21072323.

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Teleoperation is widely used for unmanned ground vehicle (UGV) navigation in military and civilian fields. However, the human operator has to limit speed to ensure the handling stability because of the low resolution of video, limited field of view and time delay in the control loop. In this paper, we propose a novel guidance point generation method that is well suited for human–machine cooperative UGV teleoperation in unstructured environments without a predefined goal position. The key novelty of this method is that the guidance points used for navigation can be generated with only the local

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14

MA, Liang, Jihong YAN, Jie ZHAO, and Zhifeng CHEN. "Virtual Environment-Based Multi-Operator Multi-Robot Cooperative Teleoperation System." ROBOT 33, no. 2 (2011): 169–73. http://dx.doi.org/10.3724/sp.j.1218.2011.00169.

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15

Reinoso, O., A. Gil, L. Payá, and M. Juliá. "Mechanisms for collaborative teleoperation with a team of cooperative robots." Industrial Robot: An International Journal 35, no. 1 (2008): 27–36. http://dx.doi.org/10.1108/01439910810843261.

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16

Polushin, Ilia G., Sergey N. Dashkovskiy, Amir Takhmar, and Rajni V. Patel. "A small gain framework for networked cooperative force-reflecting teleoperation." Automatica 49, no. 2 (2013): 338–48. http://dx.doi.org/10.1016/j.automatica.2012.11.001.

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17

Yu, Xinbo, Shuang Zhang, Liang Sun, Yu Wang, Chengqian Xue, and Bin Li. "Cooperative control of dual-arm robots in different human-robot collaborative tasks." Assembly Automation 40, no. 1 (2019): 95–104. http://dx.doi.org/10.1108/aa-12-2018-0264.

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Purpose This paper aims to propose cooperative control strategies for dual-arm robots in different human–robot collaborative tasks in assembly processes. The authors set three different regions where robot performs different collaborative ways: “teleoperate” region, “co-carry” region and “assembly” region. Human holds the “master” arm of dual-arm robot to operate the other “follower” arm by our proposed controller in “teleoperation” region. Limited by the human arm length, “follower” arm is teleoperated by human to carry the distant object. In the “co-carry” region, “master” arm and “follower”

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18

Fuchs, Philippe, Fawzi Nashashibi, and Didier Maman. "Assistance for Telepresence by Stereovision-Based Augmented Reality and Interactivity in 3D Space." Presence: Teleoperators and Virtual Environments 11, no. 5 (2002): 525–35. http://dx.doi.org/10.1162/105474602320935856.

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In this paper, we describe some use of mixed reality as a new assistance for performing teleoperation tasks in remote scenes. We will start by a brief classification of augmented reality. This paper then describes the principle of our mixed reality system in teleoperation. It tackles the problem of scene registration using a man–machine cooperative and multisensory vision system. The system provides the operator with powerful sensorial feedback as well as appropriate tools to build (and update automatically) the geometric model of the perceived scene. We describe a new interactive approach com

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Aspragathos, Nikos, Vassilis Moulianitis, and Panagiotis Koustoumpardis. "Special Issue on Human–Robot Interaction (HRI)." Robotica 38, no. 10 (2020): 1715–16. http://dx.doi.org/10.1017/s0263574720000946.

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Human–robot interaction (HRI) is one of the most rapidly growing research fields in robotics and promising for the future of robotics technology. Despite the fact that numerous significant research results in HRI have been presented during the last years, there are still challenges in several critical topics of HRI, which could be summarized as: (i) collision and safety, (ii) virtual guides, (iii) cooperative manipulation, (iv) teleoperation and haptic interfaces, and (v) learning by observation or demonstration. In physical HRI research, the complementarity of the human and the robot capabili

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20

Lo, W., Y. Liu, I. H. Elhajj, N. Xi, Y. Wang, and T. Fukuda. "Cooperative Teleoperation of a Multirobot System With Force Reflection via Internet." IEEE/ASME Transactions on Mechatronics 9, no. 4 (2004): 661–70. http://dx.doi.org/10.1109/tmech.2004.839040.

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21

Zhang, Ying, Guangming Song, Zhong Wei, Huiyu Sun, and Yong Zhang. "Bilateral teleoperation of a group of mobile robots for cooperative tasks." Intelligent Service Robotics 9, no. 4 (2016): 311–21. http://dx.doi.org/10.1007/s11370-016-0204-7.

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22

Li, Jian, Qi Huang, and Mahdi Tavakoli. "Stability of cooperative teleoperation using haptic devices with complementary degrees of freedom." IET Control Theory & Applications 8, no. 12 (2014): 1062–70. http://dx.doi.org/10.1049/iet-cta.2013.0522.

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23

Lu, Zhenyu, Panfeng Huang, Ruizhou Cheng, Zhengxiong Liu, and Zhongjie Meng. "Adaptive Robust Control for Bimanual Cooperative Contact Teleoperation with Relative Jacobian Matrix." Journal of Intelligent & Robotic Systems 95, no. 1 (2018): 47–60. http://dx.doi.org/10.1007/s10846-018-0863-z.

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24

Hirukawa, Hirohisa. "Walking biped humanoids that perform manual labour." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1850 (2006): 65–77. http://dx.doi.org/10.1098/rsta.2006.1916.

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The Humanoid Robotics Project of the Ministry of Economy, Trade and Industry of Japan realized that biped humanoid robots can perform manual labour. The project developed humanoid robot platforms, consisting of humanoid robot hardware and a package of fundamental software, and explored applications of humanoid robots on them. The applications include maintenance tasks of industrial plants, teleoperation of industrial vehicles, cooperative tasks with a human, guarding the home and office and the care of patients in beds.

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25

Itoh, Tomotaka, Akitaka Ando, Fumiyoshi Omura, Takashi Matsui, Kazuhiro Kosuge, and Toshio Fukuda. "Design of Human-machine Cooperative Telemanipulation Based on Extended Virtual Tool Dynamics." Journal of Robotics and Mechatronics 12, no. 2 (2000): 135–43. http://dx.doi.org/10.20965/jrm.2000.p0135.

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This paper proposes an alternative control algorithm for a telemanipulator based on the extended virtual tool dynamics. In this algorithm, the system is controlled so that it has the extended virtual tool dynamics which is designed appropriately for a given task. During the task, the dynamics assists a human operator as if it were a real mechanical tool and it improves the reality and the system maneuverability in the teleoperation. The major contribution of this paper is a realization of a new human-machine cooperative telemanipulation system by using the redundancy which exists immanently in

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26

Farahmandrad, Maryam, Soheil Ganjefar, Heidar Ali Talebi, and Mahdi Bayati. "A Novel Cooperative Teleoperation Framework for Nonlinear Time-Delayed Single-Master/Multi-Slave System." Robotica 38, no. 3 (2019): 475–92. http://dx.doi.org/10.1017/s0263574719000791.

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SummaryThis paper proposes a novel control framework for a single-master/multi-slave teleoperation system to grasp and handle an object, considering nonlinearity and uncertainty in the dynamics of the slaves and time-varying delay in the communication channel. Based on passive decomposition approach, the dynamics of the slaves are decomposed into two decoupled systems, and then two higher order sliding mode controllers are designed to control them. Also, a synchronization control methodology for the master is developed. Stability is fully studied using the passivity property and Lyapunov theor

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27

Hatanaka, Takeshi, Nikhil Chopra, Junya Yamauchi, Mamoru Doi, Yasunori Kawai, and Masayuki Fujita. "A Passivity-Based System Design of Semi-Autonomous Cooperative Robotic Swarm." Mechanical Engineering 139, no. 06 (2017): S14—S18. http://dx.doi.org/10.1115/1.2017-jun-6.

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This article presents a novel semiautonomous cooperative robotic system. Information flows in the architecture are designed based on the passivity property. The human passivity needed to guarantee the control goal is demonstrated using a human-in-the-loop simulator and system identification techniques. As a solution to stable coordination via bilateral human–swarm interactions, the research group built the system consisting of multiple planar robots, an operator and a computer whose role is to implement the distributed motion synchronization law. Experimental results on remote control of the r

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Cheaib, Nader, Samir Otmane, and Malik Mallem. "A Collaborative Multi-Agent Framework for Internet-Based Teleoperation Systems." International Journal of Agent Technologies and Systems 5, no. 2 (2013): 31–54. http://dx.doi.org/10.4018/jats.2013040102.

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This paper presents a conceptual model of an agent (called Collaborator Agent) intended to design collaborative software architectures based on multi-agent systems. The authors’ model combines astutely two research areas: Multi-Agent Systems (MAS) and Computer Supported Cooperative Work (CSCW). The particularity of their approach is the division of the collaborative process into three spaces according to Ellis' 3C model: communication, coordination and production. In their work, the authors extend the 3C model by adding a fourth space: collaboration. Hence, the authors present a model based on

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Wu, Lin, Hai Chao Li, Hong Ming Gao, and Guang Jun Zhang. "Development of Telerobotic System for Remote Welding Operations in Unstructured Environment." Solid State Phenomena 127 (September 2007): 37–42. http://dx.doi.org/10.4028/www.scientific.net/ssp.127.37.

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This paper presents a generic design and implementation of a telerobotic system application for the remote welding of unstructured and hazardous environment. The objective is to establish a remote welding telerobotic system that is flexibility to carry out welding seam tracing and welding remotely. According to the difference of welding task and environment, this paper presents human machine cooperative control strategies that integrate sensor and model-based computer assistance. The human operator decision and control commands participate into every control level of the teleoperation system.

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Oda, Mitsushige. "In-Orbit Experiment of Space Robot Technologies on ETS-7." Journal of Robotics and Mechatronics 6, no. 5 (1994): 370–74. http://dx.doi.org/10.20965/jrm.1994.p0370.

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NASDA is now developing Engineering Test Satellite <I>#</I>7 (ETS-7) to perform Rendezvous Docking and Space robot technology experiments in the actual space environment. ETS-7’s space robot experiments include 1) performance evaluation of a robot arm and related equipment in the actual space environment, 2) cooperative control experiment between the satellite attitude and the robot arm, 3) teleoperation experiment of the satellite mounted robot system from a ground control station, and 4) demonstration of in-orbit satellite servicing using a robot arm. The satellite will be launch

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Lui, Kent Yee, Hyunjun Cho, ChangSu Ha, and Dongjun Lee. "First-person view semi-autonomous teleoperation of cooperative wheeled mobile robots with visuo-haptic feedback." International Journal of Robotics Research 36, no. 5-7 (2017): 840–60. http://dx.doi.org/10.1177/0278364917707583.

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32

Sun, Da, Qianfang Liao, Xiaoyi Gu, Changsheng Li, and Hongliang Ren. "Multilateral Teleoperation With New Cooperative Structure Based on Reconfigurable Robots and Type-2 Fuzzy Logic." IEEE Transactions on Cybernetics 49, no. 8 (2019): 2845–59. http://dx.doi.org/10.1109/tcyb.2018.2828503.

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You, Bo, Dong Jie Li, and Jiang Yan Qiu. "Telerobot Control System with Petri Net-Based Multi-Control Modes Transfer in Due Time." Key Engineering Materials 392-394 (October 2008): 278–82. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.278.

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Man-machine cooperative teleoperation and multi-control modes transfer in due time are the key problems that the telerobot system must deal with. That is the intelligence of the operator and the robot in the system should be distributed appropriately according to the current task state. The current task state of the telerobot system should be evaluated to solve these problems. So the telerobot control system is built with current task state evaluation after analyzing system control modes. For the control modes transfer in due time, its Petri Net (PN) model is built and it is simulated with the

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Li, Zhijun, Yuanqing Xia, and Fuchun Sun. "Adaptive Fuzzy Control for Multilateral Cooperative Teleoperation of Multiple Robotic Manipulators Under Random Network-Induced Delays." IEEE Transactions on Fuzzy Systems 22, no. 2 (2014): 437–50. http://dx.doi.org/10.1109/tfuzz.2013.2260550.

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35

Lu, Zhenyu, Panfeng Huang, and Zhengxiong Liu. "High‐gain nonlinear observer‐based impedance control for deformable object cooperative teleoperation with nonlinear contact model." International Journal of Robust and Nonlinear Control 30, no. 4 (2020): 1329–50. http://dx.doi.org/10.1002/rnc.4880.

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36

Berdal, Quentin, Quentin Gadmer, and Philippe Richard. "Towards cooperative management of fatigue and vigilance in railway operations." ITM Web of Conferences 69 (2024): 03006. https://doi.org/10.1051/itmconf/20246903006.

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Professional drivers face fatigue and decrease of vigilance over the long driving sessions paving their everyday life. This naturally occurring phenomenon is acknowledged and preventive measures, adapted to the vehicles and missions, are deployed around the world to limit the related risks. As technology opened the way to affordable probing of human bio-signals and activities, more active strategies are investigated such as sleepiness monitoring and alert systems. Such systems already existed in trains, although in a more primitive form, known as “dead-man switch”. As the limitations of this s

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37

Fu, Jing, Teng-Fei Ding, Ming-Feng Ge, Leimin Wang, and Zhi-Wei Liu. "Force-reflecting event-triggered predefined-time cooperative control for teleoperation of NMMs via data-driven based observer." Control Engineering Practice 140 (November 2023): 105664. http://dx.doi.org/10.1016/j.conengprac.2023.105664.

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38

Veiga Almagro, Carlos, Giacomo Lunghi, Mario Di Castro, et al. "Cooperative and Multimodal Capabilities Enhancement in the CERNTAURO Human–Robot Interface for Hazardous and Underwater Scenarios." Applied Sciences 10, no. 17 (2020): 6144. http://dx.doi.org/10.3390/app10176144.

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The use of remote robotic systems for inspection and maintenance in hazardous environments is a priority for all tasks potentially dangerous for humans. However, currently available robotic systems lack that level of usability which would allow inexperienced operators to accomplish complex tasks. Moreover, the task’s complexity increases drastically when a single operator is required to control multiple remote agents (for example, when picking up and transporting big objects). In this paper, a system allowing an operator to prepare and configure cooperative behaviours for multiple remote agent

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Zakerimanesh, Amir, Farzad Hashemzadeh, Ali Torabi, and Mahdi Tavakoli. "A cooperative paradigm for task-space control of multilateral nonlinear teleoperation with bounded inputs and time-varying delays." Mechatronics 62 (October 2019): 102255. http://dx.doi.org/10.1016/j.mechatronics.2019.102255.

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40

Fukuda, T., S. Yamamoto, F. Arai, and Y. Hasegawa. "2P2-L3 Cooperative Visual Support by Multiple Mobile Cameras through the Autonomous Camerawork Generation for Mobile Robot Teleoperation." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2001 (2001): 77. http://dx.doi.org/10.1299/jsmermd.2001.77_9.

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41

Ravankar, Abhijeet, Ankit Ravankar, Yukinori Kobayashi, Yohei Hoshino, Chao-Chung Peng, and Michiko Watanabe. "Hitchhiking Based Symbiotic Multi-Robot Navigation in Sensor Networks." Robotics 7, no. 3 (2018): 37. http://dx.doi.org/10.3390/robotics7030037.

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Robot navigation is a complex process that involves real-time localization, obstacle avoidance, map update, control, and path planning. Thus, it is also a computationally expensive process, especially in multi-robot systems. This paper presents a cooperative multi-robot navigation scheme in which a robot can ‘hitchhike’ another robot, i.e., two robots going to the same (or close) destination navigate together in a leader–follower system assisted by visual servoing. Although such cooperative navigation has many benefits compared to traditional approaches with separate navigation, there are many

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Henning, Robert A., Wolfram Boucsein, and Monica Gil. "Social Psychophysiology of Teamwork during Continuous Tracking." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 12 (2000): 2–739. http://dx.doi.org/10.1177/154193120004401282.

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Team proficiency may depend on the extent of social-physiological compliance among participants. This laboratory study tested if compliance in electrodermal activity, heart rate or breathing in two-person teams (N=16) was predictive of team performance or coordination in a continuous tracking task that simulated teleoperation. Social-physiological compliance for each physiological measure was scored separately using weighted coherence and cross correlation of the physiological changes occurring in both participants (e.g., the cross correlation of the breathing pattern of the first team member

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Cheung, Yushing, and Jae Chung. "Teleoperation of Cooperative Control of Multiple Heterogeneous Slave Unmanned Aerial Vehicles via a Single Master Subsystem for Multi-Task Multi-Target Scenarios." SAE International Journal of Aerospace 6, no. 1 (2013): 139–49. http://dx.doi.org/10.4271/2013-01-2105.

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Mallem, M., F. Chavand, and E. Colle. "Computer-assisted visual perception in teleoperated robotics." Robotica 10, no. 2 (1992): 93–103. http://dx.doi.org/10.1017/s0263574700007517.

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SUMMARYDue to the complexity of teleoperation tasks, human operators figure in the teleoperator perception-decision-control loop. The operator needs an interactive system to handle the huge flow of data between himself and the teleoperator.The scene represented by the robot and its environment is viewed by one or more cameras. However, the video image may be degraded in extreme environments (underwater, space, etc.) or simply inadequate (2-D image).In this paper we describe the visual perception aids based of the scene, and more specifically how these are generated by the method we put forward

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45

Chong, Nak Young, Shun'ichi Kawabata, Kohtaro Ohba, et al. "Multioperator Teleoperation of Multirobot Systems with Time Delay: Part I—Aids for Collision-Free Control." Presence: Teleoperators and Virtual Environments 11, no. 3 (2002): 277–91. http://dx.doi.org/10.1162/105474602317473222.

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In this paper, various coordinated control schemes are explored in Multioperatormultirobot (MOMR) teleoperation through a communication network with time delay. Over the past decades, problems and several notable results have been reported mainly in the Single-Operator–Single-Robot (SOSR) teleoperation system. Recently, the need for cooperation has rapidly emerged in many possible applications such as plant maintenance, construction, and surgery, because multirobot cooperation would have a significant advantage over a single robot in such cases. Thus, there is a growing interest in the control

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46

Huang, Zebin, Ziwei Wang, Weibang Bai, et al. "A Novel Training and Collaboration Integrated Framework for Human–Agent Teleoperation." Sensors 21, no. 24 (2021): 8341. http://dx.doi.org/10.3390/s21248341.

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Human operators have the trend of increasing physical and mental workloads when performing teleoperation tasks in uncertain and dynamic environments. In addition, their performances are influenced by subjective factors, potentially leading to operational errors or task failure. Although agent-based methods offer a promising solution to the above problems, the human experience and intelligence are necessary for teleoperation scenarios. In this paper, a truncated quantile critics reinforcement learning-based integrated framework is proposed for human–agent teleoperation that encompasses training

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47

Kareem, Karwan. "Telematics: Tele-Operated System." International Journal of Scientific Engineering and Research 6, no. 4 (2015): 283–87. https://doi.org/10.5281/zenodo.11111272.

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With the advent of the Internet and more recently the high-speed academic networks, has created a dynamic that has allowed the academic, scientific and research worldwide for greater interaction in order to develop collaborative, relevant research and cooperatively competitive. Thus, Teleoperation stems from the need to keep people away from sources of changing radiation.

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Keerio, Muhammad Usman, Weimin Zhang, and Ali Raza Jafri. "Cooperation of Humanoid Robots Using Teleoperation for Transferring an Object." International Journal of Advanced Robotic Systems 5, no. 1 (2008): 3. http://dx.doi.org/10.5772/5661.

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49

Hernansanz, A., A. Casals, and J. Amat. "A multi-robot cooperation strategy for dexterous task oriented teleoperation." Robotics and Autonomous Systems 68 (June 2015): 156–72. http://dx.doi.org/10.1016/j.robot.2014.12.007.

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Solanes, J. Ernesto, Adolfo Muñoz, Luis Gracia, and Josep Tornero. "Virtual Reality-Based Interface for Advanced Assisted Mobile Robot Teleoperation." Applied Sciences 12, no. 12 (2022): 6071. http://dx.doi.org/10.3390/app12126071.

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Abstract:

This work proposes a new interface for the teleoperation of mobile robots based on virtual reality that allows a natural and intuitive interaction and cooperation between the human and the robot, which is useful for many situations, such as inspection tasks, the mapping of complex environments, etc. Contrary to previous works, the proposed interface does not seek the realism of the virtual environment but provides all the minimum necessary elements that allow the user to carry out the teleoperation task in a more natural and intuitive way. The teleoperation is carried out in such a way that th

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