Linearized Virtual Energy Tank for Passivity-Based Bilateral Teleoperation Using Linear MPC

Bilateral teleoperation systems are often used in safety–critical scenarios where human operators may interact with the environment remotely, as in robotic-assisted surgery or nuclear plant maintenance. Teleoperation's stability and transparency are the two most important properties to be satisfied, but they cannot be optimized independently since they are in contrast. This article presents a passive linear MPC control scheme to implement bilateral teleoperation that optimizes the tradeoff between stability and transparency (a.k.a. performance). First, we introduce a linear virtual energy tank with a novel energy-sharing policy, allowing us to define a passive linear model predictive control (MPC). Second, we provide conditions to guarantee the stability of the nonlinear closed-loop system. We validate the proposed approach in a teleoperation scheme using two 7-degree of freedom manipulators while performing an assembly task. This novel passivity-based bilateral teleoperation using linear MPC and linearized energy tank reduces the computational effort of existing passive nonlinear MPC controllers.

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Publication Details

Journal
IEEE Transactions on Robotics
Published
2025-01-01
DOI
https://doi.org/10.1109/tro.2025.3554447
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.92
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article

Linearized Virtual Energy Tank for Passivity-Based Bilateral Teleoperation Using Linear MPC

Riccardo Muradore, Nicola Piccinelli
4 citations
IEEE Transactions on Robotics
Advanced Memory and Neural Computing
2.92
article

Linearized Virtual Energy Tank for Passivity-Based Bilateral Teleoperation Using Linear MPC

Riccardo Muradore, Nicola Piccinelli
article en
4 citations

Abstract

Bilateral teleoperation systems are often used in safety–critical scenarios where human operators may interact with the environment remotely, as in robotic-assisted surgery or nuclear plant maintenance. Teleoperation's stability and transparency are the two most important properties to be satisfied, but they cannot be optimized independently since they are in contrast. This article presents a passive linear MPC control scheme to implement bilateral teleoperation that optimizes the tradeoff between stability and transparency (a.k.a. performance). First, we introduce a linear virtual energy tank with a novel energy-sharing policy, allowing us to define a passive linear model predictive control (MPC). Second, we provide conditions to guarantee the stability of the nonlinear closed-loop system. We validate the proposed approach in a teleoperation scheme using two 7-degree of freedom manipulators while performing an assembly task. This novel passivity-based bilateral teleoperation using linear MPC and linearized energy tank reduces the computational effort of existing passive nonlinear MPC controllers.

IEEE Transactions on RoboticsVol. 41
University of Verona (IT)
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Memory and Neural Computing
2.92
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Linearized Virtual Energy Tank for Passivity-Based Bilateral Teleoperation Using Linear MPC — Riccardo Muradore, Nicola Piccinelli · IEEE Transactions on Robotics (2025) | TGRS Research Map | TGRS