Implementation of Collision Avoidance Using Modification of the Expanded Guide Circle for Tele-Operated Robots

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Even for a tele-operated robot system, collision avoidance should be performed with some level of autonomy because of the mistake of tele-operators. In this paper, we suggest a simple but efficient method of collision avoidance. This suggestion complements the Expanded Guide Circle algorithm and can be used to give correct moving commands to a robot. Also we implement this method in a complex environment and show the usefulness of our algorithm.

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218-223

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March 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Tang, S. Dian, G. Gu, K. Zhou, S. Wang, and X. Feng: A novel potential field method for obstacle avoidance and path planning of mobile robot, IEEE International Conference on Computer Science and Information Technology (ICCSIT), pp.633-637, (2010).

DOI: 10.1109/iccsit.2010.5565069

Google Scholar

[2] I. Ulrich, and J. Borenstein: VFH+: Reliable obstacle avoidance for fast mobile robots, IEEE International Conference on Robotics and Automation, pp.1572-1577, (1998).

DOI: 10.1109/robot.1998.677362

Google Scholar

[3] J. Minguez: The obstacle-restriction method (ORM)for robot obstacle avoidance in difficult environments, IEEE/RSJ International Conference on IntelligentRobots and Systems, pp.2284-2290, (2005).

DOI: 10.1109/iros.2005.1545546

Google Scholar

[4] F. Wen, Z. Qu, C. Wang, and B. Hu: Study on real-timeobstacle avoidance of mobile robot based onvision sensor, IEEE International Conference on Automationand Logistics, pp.2438-2442, (2008).

DOI: 10.1109/ical.2008.4636577

Google Scholar

[5] X. T. Le, E. Z. Hong, H. S. Kim, Y. R. Cheon, S. H. Lee, S. H. Han, and Y. G. An: Real-time obstacleavoidance of mobile robots, International Conference on Control, Automation and Systems, pp.2294-2298, (2007).

DOI: 10.1109/iccas.2007.4406709

Google Scholar

[6] Y. S. Chen, and J. G. Juang: Intelligent obstacleavoidance control strategy for wheeled mobile robot, ICROS/SICE International Joint Conference, pp.3199-3204, (2009).

Google Scholar

[7] L. C. McNinch, R. A. Soltan, K. R. Muske, H. Ashrafiuon, and J. C. P. Jones: Application of acoordinated trajectory planning and real-time obstacleavoidance algorithm, American ControlConference (ACC), pp.3824-3829, (2010).

DOI: 10.1109/acc.2010.5531447

Google Scholar

[8] J. Ren, K. A. McIsaac, and R. V. Patel: A fastalgorithm for moving obstacle avoidance for vision-basedmobile robots, IEEE International Conference on ControlApplications, pp.209-214, (2005).

Google Scholar

[9] SeunghwanPark, and Gon-Woo Kim: Expanded guide circle-based obstacle avoidance for the remotely operated mobile robot, Journal of Electrical Engineering Technology, Vol. 9, No. 3, pp.1034-1042, (2014).

DOI: 10.5370/jeet.2014.9.3.1034

Google Scholar

[10] S. Rönnbäck, S. Westerberg, and K. Prorok: CSE+: Path planning amid circles, 4th International Conference on Autonomous Robots and Agents, pp.447-452, (2009).

DOI: 10.1109/icara.2000.4803947

Google Scholar

[11] http: /en. wikipedia. org.

Google Scholar