SWARM
Autonomous cooperation planning for heterogeneous multi-robot
Daichi Kato, Kosuke Sekiyama, Toshio Fukuda
- 发表年份
- 2011
- 引用次数
- 4
摘要
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.
关键词
Task (project management)RobotComputer scienceMotion planningState (computer science)Mobile robotRobot kinematicsAutonomous robotHuman–computer interactionArtificial intelligence
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002