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Updated: Jul 10, 2026

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人类意识到风险的安全路径规划基于自主移动机器人的强化学习.

Zhongjie Long1, Xianbo Zhang1, Jian Mi2

  • 1College of Mechanical and Electrical Engineering, Key Laboratory of the Ministry of Education for Modern Measurement and Control Technology, Beijing Information Science & Technology University, Beijing 102206, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

本研究介绍了人类环境中的机器人强化学习路径规划算法. 它通过预测人类运动的不确定性,显著减少了冲突,提高了成功率.

关键词:
人类共享的环境.移动机器人 移动机器人安全路径规划安全路径规划随机的风险评估 随机的风险评估不确定性 不确定性

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Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...