arXiv:2509.09404cs.RO2025-09被引 1

提出可实时感知疲劳的混合铰接柔顺机器人,提升长期运行安全性。

A Hybrid Hinge-Beam Continuum Robot with Passive Safety Capping for Real-Time Fatigue Awareness

  • 采用混合铰接结构分离扭转与弯曲,降低应力集中
  • 被动限位结合电机扭矩传感,实现疲劳减少49%
  • 无需额外传感器,实时在线估算结构疲劳

缆控柔顺机器人具有高灵活性和轻量化设计,适用于狭窄非结构化环境。但长时间使用会导致因塑性变形和材料退化引起的机械疲劳,影响性能并可能引发结构失效。现有研究对柔顺机器人疲劳估计关注不足,限制了其长期应用。为此,本文提出一种具备疲劳感知能力的柔顺机器人,包含三项创新:(1) 混合铰接结构(Hybrid Hinge-Beam),通过扭梁(TwistBeam)与弯梁(BendBeam)解耦扭转与弯曲;弯梁中的被动转动关节缓解应力集中,扭梁的有限扭转变形降低弯梁受力,提升耐久性;(2) 被动止挡装置通过机械限位安全约束运动,并利用电机扭矩传感检测对应极限扭矩,保障安全并支持数据采集;(3) 提出一种实时疲劳感知方法,基于极限姿态下电机扭矩估算刚度,实现无需额外传感器的在线疲劳评估。实验表明,该设计相比传统结构疲劳累积降低约49%,被动机械限位与电机侧传感结合可准确估计结构疲劳与损伤。结果验证了该架构在安全可靠长期运行中的有效性。

原文摘要 · Abstract (English)

Cable-driven continuum robots offer high flexibility and lightweight design, making them well-suited for tasks in constrained and unstructured environments. However, prolonged use can induce mechanical fatigue from plastic deformation and material degradation, compromising performance and risking structural failure. In the state of the art, fatigue estimation of continuum robots remains underexplored, limiting long-term operation. To address this, we propose a fatigue-aware continuum robot with three key innovations: (1) a Hybrid Hinge-Beam structure where TwistBeam and BendBeam decouple torsion and bending: passive revolute joints in the BendBeam mitigate stress concentration, while TwistBeam's limited torsional deformation reduces BendBeam stress magnitude, enhancing durability; (2) a Passive Stopper that safely constrains motion via mechanical constraints and employs motor torque sensing to detect corresponding limit torque, ensuring safety and enabling data collection; and (3) a real-time fatigue-awareness method that estimates stiffness from motor torque at the limit pose, enabling online fatigue estimation without additional sensors. Experiments show that the proposed design reduces fatigue accumulation by about 49% compared with a conventional design, while passive mechanical limiting combined with motor-side sensing allows accurate estimation of structural fatigue and damage. These results confirm the effectiveness of the proposed architecture for safe and reliable long-term operation.

柔顺机器人疲劳感知安全控制

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