Local Path Planning via Improved Fuzzy and Q(λ)-learning Algorithms for the Mobile Robot
Li Song Li Song,
Da-Zi Li Li Song
Abstract:<p>With the complexity of the robot operating environment increases, there becoming higher demands on the optimal path planning for robots. Most of the path planning is performed in known environments and static models. However, there are still challenges for robots to perform path planning in complex unknown or dynamic environments, which will suffer from deadlock problems and obstacle avoidance failures. Reinforcement learning (RL) can help fuzzy algorithm to optimize the strategy. However, the difficu… Show more
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