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On Model Adaptation for Sensorimotor Control of Robots

Abstract : In this expository article, we address the problem of computing adaptive models that can be used for guiding the motion of robotic systems with uncertain action-to-perception relations. The formulation of the uncalibrated sensor-based control problem is first presented, then, various methods for building adaptive sensorimotor models are derived and analysed. Finally, the proposed methodology is exemplified with two cases of study.
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Contributor : Andrea Cherubini <>
Submitted on : Tuesday, April 2, 2019 - 3:19:04 PM
Last modification on : Thursday, March 5, 2020 - 3:28:22 PM
Long-term archiving on: : Wednesday, July 3, 2019 - 5:47:09 PM


M10-navarro-et al - CCC19.pdf
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  • HAL Id : hal-02088055, version 1



David Navarro-Alarcon, Andrea Cherubini, Xiang Li. On Model Adaptation for Sensorimotor Control of Robots. 38th Chinese Control Conference, 2019, Guangzhou, China. ⟨hal-02088055⟩



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