生物灵感设计和神经网络增强控制的电缆驱动的肩部机制
Guohua Gao1, Yang Zheng2, Kai Liu1
1College of Mechanical and Energy Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China, Beijing, Beijing, 100124, CHINA.
Bioinspiration & biomimetics
|January 28, 2026
概括
研究人员为人形机器人开发了一种生物灵感,电缆驱动的肩部机制. 这种新的设计增强了灵巧性和稳定性,实现了机器人应用的改进轨迹跟踪和工作空间覆盖.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物机械工程 生物机械工程
- 人工智能的人工智能
背景情况:
- 人类肩膀的复杂性给人形机器人设计带来了重大挑战.
- 在机器人关节中,生物启发的机制对于实现灵巧性和稳定性至关重要.
研究的目的:
- 设计,建模和控制一种新的电缆驱动的仿生肩膀机制.
- 为了优化机器人肩部机制的能源效率和负载均性.
- 通过神经网络提高机器人肩膀的控制性能.
主要方法:
- 根据功能分析,确定了用于机制设计的核心肌肉子集.
- 制定了电缆力分布作为一个受约束的二次式编程问题.
- 开发了一种使用深度神经网络进行状态转换学习的合作控制策略.
主要成果:
- 实现了大约80%的人类肩部工作空间的覆盖,运动误差低 (3.12度) 和高可重复性 (<1度).
- 通过神经网络增强控制,在轨迹跟踪准确度上有48.9%的改进.
- 显著提高了电缆驱动机制的紧张一致性.
结论:
- 拟议的电缆驱动的肩部机制对人形机器人是有效的.
- 这项研究为设计生物灵感机器人关节提供了宝贵的见解.
- 神经网络控制显著提高了机器人肩部机制的性能.
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