Multiple teleoperated robots are more powerful to accomplish complex tasks than single robot does, and coordinated control of multiple robots play an important role in improving their performances. A knowledge based intelligent control method is proposed to coordinate the autonomous actions of the two teleoperated robots. In this method, each intelligent agent of the teleoperated robots has a model of other robots and a knowledge base of the task in a virtual distributed graphic predictive display system. Based on minimum distance query and collision detection, the autonomous motion of each robot is then planned via knowledge based reasoning to accomplish the given task. Experimental simulation results show that the method is effective for multiple robots to work coordinately.
['Wusheng Chou', 'Tianmiao Wang']
Intelligent coordinated control of multiple teleoperated robots