用仿生机器人验证关节感受器可精准感知姿势,挑战传统认知。
Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint
- 用机器人模拟Ⅰ型关节感受器,测试其本体感觉能力。
- 在屈伸和扭转运动中平均误差低于2度,表现优异。
- 对神经科学与临床康复研究有启发,适合跨学科学者参考。
在神经科学中,关节感受器传统上被视为极限检测器,仅在极端关节角度时提供位置信息,而肌梭则被认为是关节角度的主要传感器。然而,关节感受器广泛分布于关节囊中,其在本体感觉中的完整作用仍不明确。本研究聚焦于模拟Ⅰ型关节感受器(对缓慢持续运动有反应),利用机器人技术构建仿生关节,量化其本体感觉潜力。结果表明,仅Ⅰ型类关节感受器即可实现屈伸与扭转运动中平均误差小于2度的本体感觉。这些发现提示关节感受器在本体感觉中的作用可能比以往认为的更重要,且肌梭与关节感受器在神经网络中的相对贡献在发育与进化过程中可能动态调整。此外,该工作或能推动对遗传性感觉自主神经病Ⅲ型患者肘膝本体感觉缺陷差异的重新讨论。总体而言,基于仿生学的机器人方法为融合神经科学、医学与机器人学的跨学科研究提供了新路径。
原文摘要 · Abstract (English)
In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positional information only at extreme joint angles, while muscle spindles are considered the primary sensors of joint angle position. However, joint receptors are widely distributed throughout the joint capsule, and their full role in proprioception remains unclear. In this study, we specifically focused on mimicking Type I joint receptors, which respond to slow and sustained movements, and quantified their proprioceptive potential using a biomimetic joint developed with robotics technology. Results showed that Type I-like joint receptors alone enabled proprioceptive sensing with an average error of less than 2 degrees in both bending and twisting motions. These findings suggest that joint receptors may play a greater role in proprioception than previously recognized and that the relative contributions of muscle spindles and joint receptors are differentially weighted within neural networks during development and evolution. Furthermore, this work may prompt new discussions on the differential proprioceptive deficits observed between the elbows and knees in patients with hereditary sensory and autonomic neuropathy type III. Together, these findings highlight the potential of biomimetics-based robotic approaches for advancing interdisciplinary research bridging neuroscience, medicine, and robotics.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。