Motion generation through biologically-inspired torque pulses

Abstract

Traditional robot controllers are not designed to produce human-like reactive motion - movements lasting tens of sample periods and requiring large accelerations. One of the major obstacles to producing reactive motions with contemporary controllers is that they rely on kinematic commands. The performance of short duration motions requiring large accelerations is dominated by the motion's dynamics; kinematic commands without an accurate dynamic model of the robot and task will lead to poor performance. Conversely, this paper presents a biologically inspired “torque command” that allows the dynamics of the motion to be communicated to the controller. The commands can be produced with only minor modifications to any existing control scheme that will not impact traditional operation. In addition, sensory input can be mapped directly to presented commands for latency sensitive tasks. The ability of the new commands to express a broad range of motions with a small number of parameters is shown experimentally. The experimental results also show that the presented torque commands can be used to learn a ball intercept task.