Adjustable autonomy for teleoperated internet robots

被引：3
|
作者：
Su J.-B. [1 ]
Zhou W. [1 ]
机构：
[1] Department of Automation, Shanghai Jiao Tong University
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2010年 / 36卷 / 07期
基金：
欧盟地平线“2020”;
关键词：
Adjustable autonomy (AA); Human robot interaction; Internet-based robot; Uncertain time-Delay; User intention;
D O I：
10.3724/SP.J.1004.2010.00982
中图分类号：
学科分类号：
摘要：
It is very hard to have a transparent and prompt interaction between user and teleoperated internet robot due to uncertain time delays over the internet, which severely limits performance of teleoperated robot systems. This paper investigates the adjustable autonomy of robots to improve the human-robot interaction so as to compensate for the variable time delay in data transmission over internet. The autonomy of the robot is adjusted dynamically according to the environmental dynamics and network status so that the appropriate interaction pattern suited to the network conditions and task requirements can be carried out between the user and the robot. Consequently, the efficiency of the whole system can be improved to a great extent. Experimental results show the validity and feasibility of the proposed method. Copyright © 2010 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：982 / 992
页数：10
相关论文
共 34 条
  • [11] Jing X.-J., Wang Y.-C., Tan D.-L., Control of time-delayed tele-robotic systems: review and analysis, Acta Automatica Sinica, 30, 2, pp. 214-223, (2004)
  • [12] Arcara P., Melchiorri C., Control schemes for teleoperation with time delay: a comparative study, Robotics and Autonomous Systems, 38, 1, pp. 49-64, (2002)
  • [13] Morrow D., Wickens C., Rantanen E., Chang D., Marcus J., Designing external aids that support older pilots' communication, International Journal of Aviation Psychology, 18, 2, pp. 167-182, (2008)
  • [14] Luo R.C., Chen T.M., Supervisory control of multisensor integrated intelligent autonomous mobile robot via internet, Proceedings of the International Conference on Intelligent Processing Systems, pp. 12-16, (1998)
  • [15] Kawabata K., Ishikawa T., Fujii T., Noguchi T., Asama H., Endo I., Teleoperation of autonomous mobile robot under limited feedback information, Proceedings of the International Conference on Field and Service Robotics, pp. 158-164, (1997)
  • [16] Simmons R., Fernandez J.L., Goodwin R., Koenig S., O'sullivan J., Lessons learned from Xavier, IEEE Robotics and Automation Magazine, 7, 2, pp. 33-39, (2000)
  • [17] Dorais G.A., Bonasso R.P., Kortenkamp D., Pell B., Schreckenghost D., Adjustable autonomy for human-centered autonomous systems on Mars, Proceedings of the Founding Convention of the Mars Society, pp. 397-420, (1998)
  • [18] Pollack M.E., Tsamardinos I., Horty J.F., Adjustable autonomy for a plan management agent, Proceedings of the AAAI Spring Symposium on Agents with Adjustable Autonomy, pp. 101-105, (1999)
  • [19] Scerri P., Reed N.E., Designing agents for systems with adjustable autonomy, Proceedings of the International Joint Conference on Artificial Intelligence Workshop on Autonomy, Delegation, and Control: Interacting with Autonomous Agents, pp. 97-102, (2001)
  • [20] Scerri P., Pynadath D., Tambe M., Adjustable autonomy in real-world multi-agent environments, Proceedings of the International Conference on Autonomous Agents, pp. 300-307, (2001)
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