PPO.

Chunlei Li1,2, Zhe Liu2, Liang Li1,2

  • 1Shaanxi Key Laboratory of Advanced Manufacturing and Evaluation of Robot Key Components, Baoji 721016, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了一种混合增强学习方法,将模拟化 (SA) 和近距离政策优化 (PPO) 结合起来,用于机器人手臂轨迹规划. 这种新的方法可以在复杂的环境中增强对象抓取,从而实现更高的成功率和效率.

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