Tham khảo tài liệu 'multi-robot systems trends and development 2010 part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 32 Multi-Robot Systems Trends and Development environment while keeping formation. The proposed method not only can realize obstacle avoidance of multi-robot system with formation in the unknown environment but also can be adopted in real time and applicable to many different situations. By means of Pioneer3 mobile robot platform the simulation and experimental works which considering various formations and unknown environment demonstrate the effectiveness of the proposed method. In the future research we will further consider more complicated environment with various types of obstacles. In addition we will propose new method to optimize the movement of multiple robots with formation in order to improve autonomous and adaptive features of multi-robot system. 6. References Anthony L. M. Tan K. H. 1997 . High precision formation control of mobile robots using virtual structures autonomous Autonomuous Robots Vol. 4 . Khatib O. 1986 . Real-time obstacle avoidance for manipulators and mobile robot International Journal of Robotics Research Vol. 5 No. 1 pp. 90-98. Koivo A. J. Bekey G. A. 1998 . Report of workshop on coordinated multiple robots planning control and application Robotic and Automation Vol. 14 No. 1 . Pirjanian. 1999 . Behavior coordination mechanisms state of the art Technical Report Institute of Robotics and Intelligent Systems School of Engineering University of Southern California. Ren D. H. Lu G. Z. 2005 . Consideration on formation control Control and Decision Making Vol. 20 No. 6 . in Chinese Shao J. Xie G. Yu J. et al. 2005 . Leader-following formation control of multiple mobile robots Proceedings of the 2005 IEEE International Symposium on Intelligent Control . Wang P. K. C. 1991 . Navigation strategies for multiple autonomous mobile robots moving in formation Journal of Robotic Systems Vol. 8 No. 2 pp. 177-195. 3 Distributed Adaptive Control for Networked Multi-Robot Systems Abhijit Das and Frank L. Lewis .
