Adaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots

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Dettagli Bibliografici
Pubblicato in:	arXiv.org (Dec 22, 2024), p. n/a
Autore principale:	Elobaid, Mohamed
Altri autori:	Turrisi, Giulio, Rapetti, Lorenzo, Romualdi, Giulio, Dafarra, Stefano, Kawakami, Tomohiro, Chaki, Tomohiro, Yoshiike, Takahide, Semini, Claudio, Pucci, Daniele
Pubblicazione:	Cornell University Library, arXiv.org
Soggetti:	Payloads Robust control Robot dynamics Closed loops Robots Predictive control Adaptive control Control stability Stability Nonlinear control Liapunov functions Parameter uncertainty Nonlinear dynamics Locomotion
Accesso online:	Citation/Abstract Full text outside of ProQuest
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Descrizione
Abstract:	Nonlinear model predictive locomotion controllers based on the reduced centroidal dynamics are nowadays ubiquitous in legged robots. These schemes, even if they assume an inherent simplification of the robot's dynamics, were shown to endow robots with a step-adjustment capability in reaction to small pushes, and, moreover, in the case of uncertain parameters - as unknown payloads - they were shown to be able to provide some practical, albeit limited, robustness. In this work, we provide rigorous certificates of their closed loop stability via a reformulation of the centroidal MPC controller. This is achieved thanks to a systematic procedure inspired by the machinery of adaptive control, together with ideas coming from Control Lyapunov functions. Our reformulation, in addition, provides robustness for a class of unmeasured constant disturbances. To demonstrate the generality of our approach, we validated our formulation on a new generation of humanoid robots - the 56.7 kg ergoCub, as well as on a commercially available 21 kg quadruped robot, Aliengo.
ISSN:	2331-8422
Fonte:	Engineering Database