A Multiagent Reinforcement Learning approach for inverse kinematics of high dimensional manipulators with precision positioning.
Yasmin AnsariEgidio FaloticoYoan MollardBaptiste BuschMatteo CianchettiCecilia LaschiPublished in: BioRob (2016)
Keyphrases
- inverse kinematics
- multiagent reinforcement learning
- high dimensional
- motion planning
- robot arm
- multiagent systems
- robot manipulators
- stochastic games
- end effector
- cooperative
- multi agent
- position and orientation
- path planning
- degrees of freedom
- multi robot
- control law
- adaptive control
- mobile robot
- robotic systems
- humanoid robot
- multi modal
- incomplete information