[2510.03367] Viability-Preserving Passive Torque Control

[2510.03367] Viability-Preserving Passive Torque Control

arXiv - Machine Learning 3 min read

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Abstract page for arXiv paper 2510.03367: Viability-Preserving Passive Torque Control

Electrical Engineering and Systems Science > Systems and Control arXiv:2510.03367 (eess) [Submitted on 3 Oct 2025 (v1), last revised 2 Mar 2026 (this version, v2)] Title:Viability-Preserving Passive Torque Control Authors:Zizhe Zhang, Yicong Wang, Zhiquan Zhang, Tianyu Li, Nadia Figueroa View a PDF of the paper titled Viability-Preserving Passive Torque Control, by Zizhe Zhang and 4 other authors View PDF HTML (experimental) Abstract:Conventional passivity-based torque controllers for manipulators are typically unconstrained, which can lead to safety violations under external perturbations. In this paper, we employ viability theory to pre-compute safe sets in the state-space of joint positions and velocities. These viable sets, constructed via data-driven and analytical methods for self-collision avoidance, external object collision avoidance and joint-position and joint-velocity limits, provide constraints on joint accelerations and thus joint torques via the robot dynamics. A quadratic programming-based control framework enforces these constraints on a passive controller tracking a dynamical system, ensuring the robot states remain within the safe set in an infinite time horizon. We validate the proposed approach through simulations and hardware experiments on a 7-DoF Franka Emika manipulator. In comparison to a baseline constrained passive controller, our method operates at higher control-loop rates and yields smoother trajectories. Comments: Subjects: Systems and Contr...

Originally published on March 24, 2026. Curated by AI News.

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