1. Path-Integral-Based Reinforcement Learning Algorithm for Goal-Directed Locomotion of Snake-Shaped Robot.
- Author
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Yongqiang, Qi, Hailan, Yang, Dan, Rong, Yi, Ke, Dongchen, Lu, chunyang, Li, and Xiaoting, Liu
- Subjects
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MACHINE learning , *GOAL (Psychology) , *ROBOTS , *ONLINE algorithms , *REINFORCEMENT learning , *SCREWS - Abstract
This paper proposes a goal-directed locomotion method for a snake-shaped robot in 3D complex environment based on path-integral reinforcement learning. This method uses a model-free online Q-learning algorithm to evaluate action strategies and optimize decision-making through repeated "exploration-learning-utilization" processes to complete snake-shaped robot goal-directed locomotion in 3D complex environment. The proper locomotion control parameters such as joint angles and screw-drive velocities can be learned by path-integral reinforcement learning, and the learned parameters were successfully transferred to the snake-shaped robot. Simulation results show that the planned path can avoid all obstacles and reach the destination smoothly and swiftly. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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