We introduce a robust gait generation framework for humanoid robots based on our Intrinsically Stable Model Predictive Control (IS-MPC) scheme, which features a stability constraint to guarantee internal stability. With respect to the original version, the new framework adds multiple components addressing the robustness problem from different angles: an observer-based disturbance compensation mechanism; a ZMP constraint restriction that provides robustness with respect to bounded disturbances; and a step timing adaptation module to prevent the loss of feasibility. Simulation and experimental results are presented.
Robust MPC-Based Gait Generation in Humanoids / Smaldone, Filippo M.; Scianca, Nicola; Lanari, Leonardo; Oriolo, Giuseppe. - (2020). (Intervento presentato al convegno I-RIM 2020 (2nd Italian Conference on Robotics and Intelligent Machines) tenutosi a Virtual).
Robust MPC-Based Gait Generation in Humanoids
Filippo M. Smaldone;Nicola Scianca;Leonardo Lanari;Giuseppe Oriolo
2020
Abstract
We introduce a robust gait generation framework for humanoid robots based on our Intrinsically Stable Model Predictive Control (IS-MPC) scheme, which features a stability constraint to guarantee internal stability. With respect to the original version, the new framework adds multiple components addressing the robustness problem from different angles: an observer-based disturbance compensation mechanism; a ZMP constraint restriction that provides robustness with respect to bounded disturbances; and a step timing adaptation module to prevent the loss of feasibility. Simulation and experimental results are presented.File | Dimensione | Formato | |
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