生物启发的刚性-灵活合适应性兼容的机器人Gecko的运动控制,用于空间站
Xiangli Pei1, Shuhao Liu1, Anmin Wei1
1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Biomimetics (Basel, Switzerland)
|September 27, 2023
概括
这项研究介绍了一个带有混合动力驱动的机器人,用于空间站,具有适应性兼容的运动控制. 机器人实现了稳定的附着和合规的脱离,在微重力环境中增强了强度.
科学领域:
- 机器人学和生物模拟学
- 控制系统工程 控制系统工程
- 空间站技术 空间站技术
背景情况:
- 太空任务需要能够在微重力条件下稳定移动和操纵的机器人.
- 现有的机器人系统在动态的空间环境中经常在精确的附着和分离方面扎.
- 生物仿真方法为增强机器人的适应性提供了潜在的解决方案.
研究的目的:
- 开发和评估一个生物灵感的刚性-柔性合适应性合规的机器人的运动控制策略.
- 为了使机器人在微重力条件下具有稳定的附着和合规的脱离能力.
- 为了增强机器人壁对外部干扰和微重力诱导的不稳定性的强度.
主要方法:
- 一个生物模拟机器人的设计,具有刚性干,活跃的腿和气动灵活的脚.
- 实现具有实时力传感的自适应阻抗控制模型.
- 开发一个全身刚性-灵活性-反力合控制策略.
- 在微重力环境中进行实验,包括运动控制,抗干扰和可变刚度测试.
主要成果:
- 机器人虫展示了稳定的附着和符合脱离能力.
- 建议的控制策略有效地避免了正常冲击和微重力不稳定性.
- 该系统成功实现了位置和力追踪.
- 观察到对抗外部干扰的高强度.
结论:
- 生物灵感的刚性-灵活合适应性兼容的运动控制策略是有效的机器人在空间站.
- 开发的机器人在微重力条件下表现出卓越的性能,确保稳定的运动和相互作用.
- 这项研究有助于推进适应性机器人系统的发展,用于太空探索和维护.
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