Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52031

TitleAn adaptive approach to humanoid locomotion
Author(s)Pontes, J.
Doncieux, S.
Santos, Cristina
Padois, V.
KeywordsHumanoid Locomotion
Multi-objective Optimization
Evolutionary Computation
Issue date2017
PublisherWorld Scientific Publishing
Abstract(s)Controllers for the locomotion of legged robots often face challenges regarding their optimization towards different objectives and different terrains. We propose an architecture that uses the information gathered in an exploration phase to adapt to a terrain with unknown characteristics. In the exploration phase virtual simulations are used to optimize the parameters of the controller in different terrains. The results of this optimization are used to identify the unknown terrain characteristics, and these values are used to select the best parameters for this particular terrain. The approach was tested in simulation, on terrains with variable friction, on an iCub robot, against a naive approach, and another where the friction was identified at random, and it clearly outperformed in both cases.
TypeConference paper
URIhttp://hdl.handle.net/1822/52031
ISBN9789813149120
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DEI - Artigos em atas de congressos internacionais

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