Research on Multi-Robot Path Planning for Automobile Body-in-White Spot Welding Operation
Aiming at the problem of large welding workload and complex welding work in multi-robot welding production lines for body-in-white,a multi-robot welding path planning method based on adaptive elite ant colony algorithm was proposed.Based on the ant colony algorithm,the core parameters of the algo-rithm are adjusted,and then an adaptive update strategy and an elite ant system are added to the ant colony algorithm to enhance the algorithm's global search ability and improve the algorithm's convergence speed,and the performance of the algorithm is tested through the TSP model.Finally,the effectiveness of the method is verified by taking the welding operation of the total assembly station of a vehicle in the body-in-white welding production line as an example.The results show that the improved ant colony algorithm has better search efficiency and search ability,and the multi-robot welding paths do not intersect,which meets the welding process requirements,and provides a new method for multi-robot welding path planning.
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维普
