In this formulation, the multi-objective function is generated which includes some parameters such as motion time, dynamic disturbance, and jerk, and so on.

Abstract. Space robots are playing significant roles in the maintenance and repair of space station and satellites and other future space services.

In this formulation, the multi-objective function is generated which includes some parameters such as motion time, dynamic disturbance, and jerk, and so on.

Then, the improved multi-objective particle swarm optimization (MOPSO) algorithm is used to optimize the trajectory, and the distribution uniformity, ...

This paper studied Cartesian trajectory planning for space robot systems. Dynamic singularities were avoided by combining DLS and feedback compensation.

For space robot system, optimizing the motion path becomes an important problem to minimize multiple objectives simultaneously, such as minimizing the ...

A self-adaptive mutation operation based on the degree of a path blocked by obstacles is designed to improve the feasibility of a new path in a global path ...

Nov 7, 2021 · The algorithm combines the methods of mutation operator, annealing factor and feedback mechanism to improve the diversity of the population on ...

Abstract—Aiming at robot path planning in an environment with danger sources, a global path planning approach based on multi-objective particle swarm ...

Aug 19, 2022 · The proposed algorithm is used for the path planning of autonomous mobile robots in both static and dynamic environments.