Optimization of Trajectory Planning for Car-bon Block Grinding and Polishing System.

To study the problem of joint smooth motion and grinding trajectory optimization in the grinding operation of carbon block robot, the B-spline interpolation method is used to improve trajectory smoothness and shape control, and an improved particle swarm optimization (PSO) algorithm based on simulated annealing, learning factor and adaptive range control is proposed to mainly study the joint space trajectory planning. The research results show that the optimized trajectory planning algorithm can effectively enhance the automation level of carbon block robot grinding, improve the smoothness and time efficiency of grinding and polishing trajectory, and is of great significance for improving working efficiency and reducing human resource costs. [ABSTRACT FROM AUTHOR]