Title :
Leader-formation navigation using dynamic formation pattern
Author :
Li, Yangmin ; Chen, Xin
Author_Institution :
Dept. of Electromech. Eng., Macau Univ.
Abstract :
Formation navigation is an interesting topic in robotic community. In this paper, we focus on two aspects of formation navigation, leader-formation keeping and obstacle avoidance. A local control strategy based on adaptive NN control with robust term and a general obstacle avoidance strategy are proposed. It is proved that if formation pattern is smooth continuous, even interaction topology is dynamic, the robots using the local control strategy must form the formation determined by formation pattern. Applying dynamic formation pattern, a simulation illustrates a formation navigation within an obstacle field where there exist two kinds of obstacles
Keywords :
adaptive control; collision avoidance; intelligent robots; mobile robots; multi-robot systems; neurocontrollers; robust control; adaptive NN control; dynamic formation pattern; formation pattern; interaction topology; leader-formation keeping; leader-formation navigation; obstacle avoidance; robust term; Adaptive control; Navigation; Neural networks; Programmable control; Robot kinematics; Robot sensing systems; Robust control; Shape control; Topology; Torque control;
Conference_Titel :
Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-9047-4
DOI :
10.1109/AIM.2005.1511222