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Time-optimal trajectory planning based on particle swarm optimization

Yu Zeng, Zhanxiong Wu

Year
2015
Citations
2

Abstract

This paper presents a novel time-optimal trajectory planning method based on particle swarm optimization. The method can generate smooth trajectories in joint space, satisfying position and velocity boundary conditions at start-point and endpoint with high precision. After D-H parameters of the industrial robot were acknowledged, the algorithm was applied on the robot.

Keywords

Particle swarm optimizationTrajectoryRobotPosition (finance)Multi-swarm optimizationTrajectory optimizationComputer scienceMotion planningBoundary (topology)Point (geometry)

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