CPG-Based Manipulation: Adaptive Switchings of Grasping Fingers by Joint Angle Feedback

In this paper, the CPG-based control method for the rotating manipulation that can adaptively change the issuing cycle of motion-triggers is proposed. The CPG model consists of the mutual inhibition network and the rotating manipulation is performed by the motion-triggers that are issued from the CPG model. The smooth change of the desired velocity can be given by the output of neurons that keep smooth increase and decrease. Experimental results using 4-fingered hand system suggest that the issuing cycle of the motion-triggers can be adaptively changed by the feedback of joint angle according to an object size.