A New High-Precision DZNN Model for Motion Control of Redundant Manipulators with Obstacle Avoidance
Abstract: Aiming at the motion control and obstacle avoidance of redundant manipulators in practical applications, a continuous zeroing neural network (CZNN) model is first developed. For convenient ...
Abstract: Many robotic tasks, such as human-robot interactions or the handling of fragile objects, require tight control and limitation of appearing forces and moments alongside sensible motion ...
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