Path Planning and Collision Avoidance for a Multi-Arm Space Maneuverable Robot

Abstract

In this paper, a path planning algorithm for a multi-arm space robot is proposed. The robot is capable of maneuvering on the exterior of a large space station. Based on the maneuver strategy, continuous and smooth trajectories of the manipulator end effectors are first determined via the polynomial interpolation method. Then, the kinematics describing the relationship between the end effector and the joint angles, as well as the platform, are formulated. A Moore-Penrose pseudoinverse solution of the joint trajectories is calculated to describe the motion of the manipulators, particularly considering the singularity avoidance. In addition, a collision detection algorithm is developed to estimate the security during operation. Constraints are formulated by considering collision avoidance, based on which a collision-free trajectory is optimized through the multiplier-penalty method. The numerical results of a simulation involving a triple-arm space robotic system are given to demonstrate the effectiveness of the proposed algorithms.