力覚センシングを用いたモデル依存型電動義足の多様地形歩行制御
Powered Prosthesis Locomotion on Varying Terrains: Model-Dependent Control with Real-Time Force Sensing
人間と義足の間および地面にかかる力をリアルタイムに計測し、安定性を理論的に保証する最適化ベースの制御で、電動義足が4種類の地形を歩行できることを示した論文。
著者: Rachel Gehlhar, Je-han Yang, Aaron D. Ames
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
Lower-limb prosthesis wearers are more prone to falling than non-amputees. Powered prostheses can reduce this instability of passive prostheses. While shown to be more stable in practice, powered prostheses generally use model-independent control methods that lack formal guarantees of stability and rely on heuristic tuning. Recent work overcame one of the limitations of model-based prosthesis control by developing a class of provably stable prosthesis controllers that only require the human interaction forces with the prosthesis, yet these controllers have not been realized with sensing of these forces in the control loop. Our work realizes the first model-dependent prosthesis knee controller that uses in-the-loop on-board real-time force sensing at the interface between the human and prosthesis and at the ground. The result is an optimization-based control methodology that formally guarantees stability while enabling human-prosthesis walking on a variety of terrain types. Experimental results demonstrate this force-based controller outperforms similar controllers not using force sensors, improving tracking across 4 terrain types.
