Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators
Dake Zheng, Xinyu Wu, Jianxin Pang

TL;DR
This paper introduces a real-time whole-body obstacle avoidance method for 7-DOF redundant manipulators, combining dynamical systems and null-space control to ensure obstacle avoidance without compromising task execution.
Contribution
It presents a novel integrated approach that enables real-time obstacle avoidance for both end-effector and non-end-effector parts of a redundant manipulator during task execution.
Findings
Effective obstacle avoidance demonstrated in simulations.
Successful real-time implementation on UBTECH humanoid robot.
Maintains task accuracy while avoiding obstacles.
Abstract
Mainly because of the heavy computational costs, the real-time whole-body obstacle avoidance for the redundant manipulators has not been well implemented. This paper presents an approach that can ensure that the whole-body of a redundant manipulator can avoid moving obstacles in real-time during the execution of a task. The manipulator is divided into end-effector and non-end-effector portion. Based on dynamical systems (DS), the real-time end-effector obstacle avoidance is obtained. Besides, the end-effector can reach the given target. By using null-space velocity control, the real-time non-endeffector obstacle avoidance is achieved. Finally, a controller is designed to ensure the whole-body obstacle avoidance. We validate the effectiveness of the method in the simulations and experiments on the 7-DOF arm of the UBTECH humanoid robot.
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Taxonomy
TopicsRobotic Locomotion and Control · Robotic Path Planning Algorithms · Robot Manipulation and Learning
