NMPC-based variable admittance control with passivity constraints

When robots interact with their environment, managing the physical interaction safely and accurately is critical. Impedance and admittance control allow such interaction and have been fundamental to robotic control for decades. For challenging applications, it is often necessary to implement a time-varying impedance profile, which necessitates more complex conditions to guarantee stability. This paper introduces a method to implement variable admittance control with explicit passivity constraints using non-linear model predictive control (NMPC). The dynamics of the impedance parameters are directly included in the predictive controller. Contrary to previous approaches, the computed control signals enforce simultaneously the passivity condition and the constraints, on both the robot state and the control signals.

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Publication Details

Journal
Robotics and Autonomous Systems
Published
2026-04-21
DOI
https://doi.org/10.1016/j.robot.2026.105483
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

NMPC-based variable admittance control with passivity constraints

Bernard Bayle, Thibault Poignonec, Loïc Cuvillon, Hassan Omran
Robotics and Autonomous Systems
Advanced Control Systems Optimization
article

NMPC-based variable admittance control with passivity constraints

Bernard Bayle, Thibault Poignonec, Loïc Cuvillon, Hassan Omran
article en

Abstract

When robots interact with their environment, managing the physical interaction safely and accurately is critical. Impedance and admittance control allow such interaction and have been fundamental to robotic control for decades. For challenging applications, it is often necessary to implement a time-varying impedance profile, which necessitates more complex conditions to guarantee stability. This paper introduces a method to implement variable admittance control with explicit passivity constraints using non-linear model predictive control (NMPC). The dynamics of the impedance parameters are directly included in the predictive controller. Contrary to previous approaches, the computed control signals enforce simultaneously the passivity condition and the constraints, on both the robot state and the control signals.

Robotics and Autonomous SystemsVol. 202
Centre National de la Recherche Scientifique (FR), Inserm (FR), Université de Strasbourg (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 20%
Advanced Control Systems Optimization
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