Industrial robot trajectory planning based on improved pso algorithm

Robot Path Planning Method Based on Improved Genetic Algorithm

This paper presents an improved genetic algorithm for mobile robot path planning. The algorithm uses artificial potential method to establish the initial population, and increases value weights in the fitness function, which increases the controllability of robot path length and path smoothness. In the new algorithm, a flip mutation operator is added, which ensures the individual population col...

Mobile Robot Path Planning Based on Improved Q Learning Algorithm

For path planning of mobile robot, the traditional Q learning algorithm easy to fall into local optimum, slow convergence etc. issues, this paper proposes a new greedy strategy, multi-target searching of Q learning algorithm. Don't need to create the environment model, the mobile robot from a single-target searching transform into multitarget searching an unknown environment, firstly, by the dy...

Optimization Planning based on Improved Ant Colony Algorithm for Robot

As the ant colony algorithm has the defects in robot optimization path planning such as that low convergence cause local optimum, an improved ant colony algorithm is proposed to apply to the planning of path finding for robot. This algorithm uses the search way of exhumation ant to realize the complementation of advantages and accelerate the convergence of algorithm. The experimental result sho...

Trajectory Planning of Welding Robot Based on Terminal Priority Planning

In order to improve the trajectory planning efficiency and accuracy of multi-joint welding robot, according to the movement feature of multi-joint welding robot, the paper analyzed on existing problems in spatial joint planning of the robot, proposed a terminal priority planning method of robot joint planning, based on the study of energy conservation and accuracy of robot terminal. Using this ...

Trajectory Planning and Control of Industrial Robot Manipulators