接触整合型相互作用ダイナミクス正規化による予測的物理人ロボット相互作用
Contact-Consistent Interaction Dynamics Normalization for Predictive Physical Human--Robot Interaction
浮遊ベースロボットの物理的相互作用を、接触制約の変化に整合する正規化手法で制御する。接触状態に依存しない線形モデルと観測器を組み合わせ、接触切替や支持モード遷移でも追従精度を維持することを示した。
著者: Yongyan Cao
分類: cs.RO, eess.SY
原文アブストラクト
Safe physical human--robot interaction on floating-base robots requires interaction regulation under changing contact constraints. We develop a contact-consistent normalization in which the residual end-effector channel is represented as a linear double integrator in acceleration coordinates. Both discrete prediction matrices are independent of configuration and support mode; posture and contact enter only through task-inertia force recovery and constraints. The controller combines a constant-Hessian receding-horizon QP, an acceleration-disturbance observer, and a priority-consistent realization. Classical operational-space impedance is shown to be the unconstrained infinite-horizon limit. MuJoCo experiments on a 17-DOF biped and a Menagerie-derived Unitree G1 model evaluate sustained forces, transmitted shocks, and scheduled contact-model changes. The observer sustains near-offset-free tracking across a genuine contact-set switch and a scheduled support-mode transition, while disturbance estimation---not contact consistency alone---is the dominant source of fixed-stance accuracy; covariance inflation gives only scenario-dependent transient benefit.