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Updated: Jul 6, 2026

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动态环境中的移动机器人导航的深度强化学习:一篇评论

Yingjie Zhu1, Wan Zuha Wan Hasan1, Hafiz Rashidi Harun Ramli1

  • 1Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.

Sensors (Basel, Switzerland)
|September 19, 2025
PubMed
概括

深度强化学习 (DRL) 显示出在动态环境中移动机器人导航的前景. 本研究分析了DRL算法,确定了趋势,并提出了改善现实世界的适应性和性能的未来方向.

关键词:
深度强化学习的学习.动态的环境 动态的环境移动机器人 移动机器人导航 导航 导航 导航 导航

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