Optimal Path-Planning of Nonholonomic Terrain Robots for Dynamic Obstacle Avoidance Using Single-Time Velocity Estimator and Reinforcement Learning Approach

Optimal Path-Planning of Nonholonomic Terrain Robots for Dynamic Obstacle Avoidance Using Single-Time Velocity Estimator and Reinforcement Learning Approach

A single-time velocity estimator-based reinforcement learning (RL) algorithm, integrated with a chaotic metaheuristic optimization technique is proposed in this article for the optimal path-planning of the nonholonomic robots considering a moving/stationary obstacle avoidance strategy. The additiona...

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Bibliographic Details
Main Authors: Hamid Taghavifar, Bin Xu, Leyla Taghavifar, Yechen Qin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Mechatronics
terramechanics
path-planning
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/8886591/

Internet

https://ieeexplore.ieee.org/document/8886591/

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