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This paper presents a control-theoretic framework for safe physical human-robot interaction by normalizing contact dynamics on floating-base robots. The core contribution lies in developing a contact-consistent normalization method that maintains tracking accuracy during support-mode transitions and contact-set switches, with disturbance estimation identified as the primary factor for fixed-stance accuracy. While robotics is involved, the focus remains strictly on the algorithmic control strategies and system modeling required for advanced robotic interaction rather than general consumer electronics or unrelated tech sectors.
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Contact-Consistent Interaction Dynamics Normalization for Predictive Physical Human--Robot Interaction

arXiv2 min read

arXiv:2606.14617v3 Announce Type: replace Abstract: 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.

Abstract: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.

Robotics (cs.RO); Systems and Control (eess.SY)

arXiv:2606.14617 [cs.RO]

(or arXiv:2606.14617v3 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2606.14617 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 232 words

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