Multi-objective trajectory optimization algorithm for cooperative six-axis manipulator

The integration of cooperative six-axis manipulator in industrial automation requires it to achieve efficient and accurate motion under the premise of ensuring safety. In order to meet this demand, this paper proposes a multi-objective trajectory optimization algorithm for the cooperative six-axis manipulator, which takes into account the motion time, energy consumption and path smoothness. By establishing a multi-objective optimization model, the improved particle swarm optimization algorithm is used to solve the problem, which ensures that the optimal planning of the trajectory is realized under the premise of satisfying the kinematics and dynamics constraints of the manipulator. An adaptive weight adjustment mechanism is introduced in the algorithm to dynamically balance the conflicts between different optimization objectives. The simulation results show that the proposed algorithm can significantly reduce the time for the manipulator to complete the task, reduce the energy consumption and improve the smoothness of the motion path. This study provides strong technical support for the efficient, energy-saving and safe operation of cooperative manipulators in complex industrial environments.