ArXiv TLDR

Passive Variable Impedance For Shared Control

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2604.20557

Maximilian Mühlbauer, Nepomuk Werner, Ribin Balachandran, Thomas Hulin, João Silvério + 2 more

cs.RO

TLDR

This paper introduces a passive variable impedance framework for shared control, stabilizing systems with time-varying stiffness and multiple target arbitration.

Key contributions

  • Introduces a holistic framework for stabilizing variable stiffness impedance control and multi-controller arbitration.
  • Identifies and provides methods to passivate closed-loop systems, preventing instability in shared control.
  • Supports arbitrary, time-varying, matrix-valued stiffness and arbitration factors, increasing design flexibility.
  • Validated through simulations and real robot experiments, demonstrating effectiveness and diverse behaviors.

Why it matters

This paper resolves stability issues in shared control using variable impedance, enabling robust human-robot collaboration. It allows for dynamic adaptation without compromising safety, paving the way for more flexible and sophisticated shared control methods.

Original Abstract

Shared Control methods often use impedance control to track target poses in a robotic manipulator. The guidance behavior of such controllers is shaped by the used stiffness gains, which can be varying over time to achieve an adaptive guiding. When multiple target poses are tracked at the same time with varying importance, the corresponding output wrenches have to be arbitrated with weightings changing over time. In this work, we study the stabilization of both variable stiffness in impedance control as well as the arbitration of different controllers through a scaled addition of their output wrenches, reformulating both into a holistic framework. We identify passivity violations in the closed loop system and provide methods to passivate the system. The resulting approach can be used to stabilize standard impedance controllers, allowing for the development of novel and flexible shared control methods. We do not constrain the design of stiffness matrices or arbitration factors; both can be matrix-valued including off-diagonal elements and change arbitrarily over time. The proposed methods are furthermore validated in simulation as well as in real robot experiments on different systems, proving their effectiveness and showcasing different behaviors which can be utilized depending on the requirements of the shared control approach.

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