Autonomous cooperation formation for multi-robot
Daichi Kato, Kosuke Sekiyama, Toshio Fukuda · 2010
This paper deals with an adaptive multi-robot task planning. When a desired goal state of the task environment is given, backward task planning from the goal state and forward search form the initial condition such as currently available robot and functions and displacement of objects etc., are interactively executed to find a feasible state transition. Nontrivial multi-robot cooperation formation is dynamically generated as a result of the task planning. Experimental results validate the proposed method.