With the rapid development of automation and intelligent technology in modern industry,robots play an important role in improving production efficiency and quality.As a representative of new robots,intelligent rolling robot is widely used in modern industry because of its simplified mechanical structure and efficient path planning.In this paper,the structural advantages of intelligent rolling robot and the characteristics of path planning are described,and then a hybrid path planning algorithm based on reinforcement learning and artificial potential field method is proposed.Combined with the global optimization ability of reinforcement learning and the local adjustment ability of artificial potential field method,this algorithm can effectively improve the path planning performance of rolling robots in complex environments.The experimental results show that the flexibility and adaptability of the rolling robot in path planning is significantly better than that of the traditional walking robot.
关键词
智能化滚动机器人/路径规划/强化学习/人工势场法
Key words
intelligent rolling robot/path planning/reinforcement learning/artificial potential field method
维普
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