用触觉遥控让治疗师远程指导患者做康复动作,更省力、更高效。
Therapist-Robot-Patient Physical Interaction is Worth a Thousand Words: Enabling Intuitive Therapist Guidance via Remote Haptic Control
- 治疗师通过触觉设备远程操控外骨骼,实现直观物理引导。
- 触觉指导使动作完成时间减少,流畅度提升,言语指令减少30%以上。
- 适合康复治疗、远程医疗场景,尤其利于缺乏现场治疗师的环境。
机器人系统可提升物理引导运动训练的量与重复性,但其实际应用受限于治疗师与患者之间非直观的交互方式。为此,我们提出一种触觉遥操作系统,使治疗师能远程指导佩戴上肢外骨骼的训练者。治疗师通过商用手持触觉设备,经外骨骼肘部和腕部的虚拟接触点与设备互动,实现直观引导。32名参与者在治疗师-受训者范式下对比了触觉演示与传统视觉演示的效果。定量分析显示,触觉演示显著缩短动作完成时间并提升流畅性;基于大语言模型的语音分析表明,口头指令数量减少。触觉演示未增加治疗师的心理与体感负担,且治疗师自评胜任感更高,受训者感知身体负荷更低。结果支持该界面在远程人机物理交互中的可行性。未来工作应评估其在临床人群中的可用性与疗效,以恢复临床医生在机器人辅助治疗中的主体感。
原文摘要 · Abstract (English)
Robotic systems can enhance the amount and repeatability of physically guided motor training. Yet their real-world adoption is limited, partly due to non-intuitive trainer/therapist-trainee/patient interactions. To address this gap, we present a haptic teleoperation system for trainers to remotely guide and monitor the movements of a trainee wearing an arm exoskeleton. The trainer can physically interact with the exoskeleton through a commercial handheld haptic device via virtual contact points at the exoskeleton's elbow and wrist, allowing intuitive guidance. Thirty-two participants tested the system in a trainer-trainee paradigm, comparing our haptic demonstration system with conventional visual demonstration in guiding trainees in executing arm poses. Quantitative analyses showed that haptic demonstration significantly reduced movement completion time and improved smoothness, while speech analysis using large language models for automated transcription and categorization of verbal commands revealed fewer verbal instructions. The haptic demonstration did not result in higher reported mental and physical effort by trainers compared to the visual demonstration, while trainers reported greater competence and trainees lower physical demand. These findings support the feasibility of our proposed interface for effective remote human-robot physical interaction. Future work should assess its usability and efficacy for clinical populations in restoring clinicians' sense of agency during robot-assisted therapy.
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