Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion

In traditional robotics, model-based controllers are usually needed in order to bring a robotic plant to the next desired state, but they present critical issues when the dimensionality of the control problem increases and disturbances from the external environment affect the system behavior, in par...

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Bibliographic Details
Main Authors: Elisa Massi, Lorenzo Vannucci, Ugo Albanese, Marie Claire Capolei, Alexander Vandesompele, Gabriel Urbain, Angelo Maria Sabatini, Joni Dambre, Cecilia Laschi, Silvia Tolu, Egidio Falotico
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Neurorobotics
Subjects:
evolutionary algorithm
bio-inspired controller
cerebellum-inspired algorithm
robotic locomotion
neurorobotics
central pattern generator
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2019.00071/full

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https://www.frontiersin.org/article/10.3389/fnbot.2019.00071/full

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