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arXiv 2602.04648cs.RO
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从视觉到辅助:基于注视和视觉增强的自适应控制用于后背支撑外骨骼

From Vision to Assistance: Gaze and Vision-Enabled Adaptive Control for a Back-Support Exoskeleton

Department of Innovative Technologies (DTI), Dalle Molle Institute for Artificial Intelligence (IDSIA), University of Applied Sciences and Arts of Southern Switzerland (SUPSI)(创新技术系(DTI)、人工智能研究所(IDSIA)、瑞士应用科学与艺术大学(SUPSI));Department of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca(信息、系统与通信系(DISCo)、米兰-比科卡大学);Department of Mechanical Engineering, Politecnico di Milano(机械工程系、米兰理工学院)

Alessandro Leanza, Paolo Franceschi, Blerina Spahiu, Loris Roveda

AI总结:

本文提出一种基于视觉和注视的自适应控制框架,用于后背支撑外骨骼,通过实时抓取检测和有限状态机提升任务流畅性和用户舒适度。

摘要:

后背支撑外骨骼已被提出以减轻工业搬运中的脊柱负荷,但其有效性关键取决于及时且具有情境意识的辅助。现有大多数方法依赖于负载估计技术(如EMG、IMU)或不直接告知控制的视觉系统。在本工作中,我们提出了一种基于视觉的控制框架,用于主动腰部职业外骨骼,该框架利用自体视觉与可穿戴注视跟踪。所提出的系统集成了实时抓取检测的第一人称YOLO基于感知系统,一个有限状态机(FSM)用于任务进度,以及一个可变刚度控制器以适应姿势和物体状态。一项涉及15名参与者在三种条件下进行弯腰负载提升试验的用户研究显示,视觉门控辅助显著降低了感知的体力需求,提高了流畅性、信任度和舒适度。定量分析显示当启用视觉时,辅助更早且更强,而问卷结果证实用户更喜欢视觉门控模式。这些发现突显了自体视觉在增强后背支撑外骨骼响应性、人体工程学、安全性和接受度方面的潜力。

英文摘要:

Back-support exoskeletons have been proposed to mitigate spinal loading in industrial handling, yet their effectiveness critically depends on timely and context-aware assistance. Most existing approaches rely either on load-estimation techniques (e.g., EMG, IMU) or on vision systems that do not directly inform control. In this work, we present a vision-gated control framework for an active lumbar occupational exoskeleton that leverages egocentric vision with wearable gaze tracking. The proposed system integrates real-time grasp detection from a first-person YOLO-based perception system, a finite-state machine (FSM) for task progression, and a variable admittance controller to adapt torque delivery to both posture and object state. A user study with 15 participants performing stooping load lifting trials under three conditions (no exoskeleton, exoskeleton without vision, exoskeleton with vision) shows that vision-gated assistance significantly reduces perceived physical demand and improves fluency, trust, and comfort. Quantitative analysis reveals earlier and stronger assistance when vision is enabled, while questionnaire results confirm user preference for the vision-gated mode. These findings highlight the potential of egocentric vision to enhance the responsiveness, ergonomics, safety, and acceptance of back-support exoskeletons.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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