An Experimental Multi-Agent Robot System for Operating in Hazardous Environments
In this paper, a multi-agent robot system is presented. The system consists of four robots. The developed robots are able to automatically enter and patrol a harmful environment, such as the building infected with virus or the factory with leaking hazardous gas. Further, every robot is able to perform obstacle avoidance and search for the victims. Several operation modes are designed: remote control, obstacle avoidance, automatic searching, and so on.
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Mobile Robot Navigation," IEEE/ASME Transactions on
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robots in connected groups," International Symposium on
Communications, Control and Signal Processing, pp. 162-167, 2008.
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on Control, Automation, Robotics and Vision, pp. 689-693, 2008.
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[1] J. L. Jones, "Robots at the tipping point: the road to iRobot Roomba,"
IEEE Robotics & Automation Magazine, pp. 76-78, 2006.
[2] M. Fujita, "AIBO: Toward the era of digital creatures," Int. J. Robot.
Res., vol. 20, no. 10, pp. 781-794, 2001.
[3] W. Kwon, H. K. Kim, J. K. Park, C. H. Roh, J. Lee, J. Park, W. K. Kim,
and K. Roh, "Biped humanoid robot Mahru III," 2007 7th IEEE-RAS
International Conference on Humanoid Robots, pp. 583-588, 2007.
[4] Y. Sakagami, R. Watanabe, C. Aoyama, S. Matsunaga, N. Higaki, and
K. Fujimura, "The intelligent ASIMO: system overview and
integration," 2002. IEEE/RSJ International Conference on Intelligent
Robots and Systems, vol. 3, pp. 2478-2483, 2002.
[5] J. Yu, L. Liu, L. Wang, M. Tan, and D. Xu, "Turning Control of a
Multilink Biomimetic Robotic Fish," IEEE Transactions on Robotics,
pp. 201-206, 2008.
[6] G. E. Jan, K. Y. Chang, and I. Parberry, "Optimal Path Planning for
Mobile Robot Navigation," IEEE/ASME Transactions on
Mechatronics, pp. 451-460, 2008.
[7] J. Rogge and D. Aeyels, "Sensor coverage with a multi-robot system
IEEE 22nd International Symposium on Intelligent Control, pp. 71-76,
2007.
[8] A. Cezyirli and F. Kerestecioglu, "Navigation of autonomous mobile
robots in connected groups," International Symposium on
Communications, Control and Signal Processing, pp. 162-167, 2008.
[9] H. Li, S. X. Yang, and M. L. Seto, "Neural-network-based path
planning for a multirobot system with moving obstacles," IEEE
Transactions on Systems, Man, and Cybernetics, Part C, vol. 39, no. 4,
pp. 410-419, 2009.
[10] J. Iqbal, S. Heikkila, and A. Halme, "Tether tracking and control of
ROSA robotic rover," ICARCV 2008. 10th International Conference
on Control, Automation, Robotics and Vision, pp. 689-693, 2008.
[11] I. Erkmen, A. M. Erkmen, F. Matsuno, R. Chatterjee, and T.
Kamegawa, "Snake robots to the recue," IEEE Robotics &
Automation Magazine, vol. 9, no. 3, pp. 17-25, 2002.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50737", author = "Y. J. Huang and J. D. Yu and B. W. Hong and C. H. Tai and T. C. Kuo", title = "An Experimental Multi-Agent Robot System for Operating in Hazardous Environments", abstract = "In this paper, a multi-agent robot system is presented. The system consists of four robots. The developed robots are able to automatically enter and patrol a harmful environment, such as the building infected with virus or the factory with leaking hazardous gas. Further, every robot is able to perform obstacle avoidance and search for the victims. Several operation modes are designed: remote control, obstacle avoidance, automatic searching, and so on.
", keywords = "autonomous robot, field programmable gate array,
obstacle avoidance, ultrasonic sensor, wireless communication.", volume = "5", number = "5", pages = "592-4", }
