可变形线性物体的参数建模用于机器人装备和维护太空系统
Amy Quartaro1, Joshua Moser2, John Cooper2
1FASER Lab, Virginia Tech, Mechanical Engineering Department, Blacksburg, VA, United States.
Frontiers in robotics and AI
|August 13, 2025
概括
机器人系统需要处理空间任务的柔性电缆. 这项研究提出了一种新方法,可以准确地建模和预测电缆配置,改善机器人操纵在太空维修.
科学领域:
- 机器人和自动化 机器人和自动化
- 航空航天工程 航空航天工程
- 应用物理 应用物理
背景情况:
- 长期太空任务需要自主机器人系统来进行建造和维护.
- 机器人操纵计划一直专注于刚性物体,忽视像电缆这样的可变形线性物体 (DLO).
- 现有的DLO研究往往忽略了电缆的非零曲平衡配置.
研究的目的:
- 开发一种基于模型的优化方法,用于估计空间中的电缆配置.
- 为应对空间架构中灵活电缆机器人操纵的挑战.
- 为了提高自主系统的电缆行为建模的准确性和效率.
主要方法:
- 实施了基于模型的优化方法,用于准确性-复杂性权衡的离散级参数.
- 利用观察到的2D电缆配置进行参数估计,以改进电缆模型.
- 通过将预测配置与真实电缆数据进行比较,验证了参数估计.
主要成果:
- 基于模型的优化方法有效地估计了电缆配置.
- 与以前的方法相比,参数估计减少了数量级的预测错误.
- 该方法考虑了非零平衡配置,这是现实世界电缆的关键因素.
结论:
- 灵活电缆的准确建模对于在太空中机器人装备和维护至关重要.
- 开发的方法增强了用于机器人控制的电缆有效载荷的状态空间表示.
- 这项研究提升了自主系统在复杂的太空维修操作中的能力.
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