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Importance of sensors’ feedback in legged rovers controlled by evolutionary dynamical neural networks

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3 Author(s)
Luca Vailati ; Dipartimento di Ingegneria Aerospaziale, Politecnico di Milano, via La Masa, 34 - 20156, Italy ; Guido Sangiovanni ; Franco Bernelli Zazzera

In this paper the importance of the feedback from sensors in the neuro-controller of the N.E.Me.Sys. robot is proved. N.E.Me.Sys. is a legged rover for planetary exploration fully controlled by artificial continuous time recurrent neural networks (CTRNNs) designed with evolutionary algorithms. The most interesting result of this work is that it explain how a leg equipped with contact sensors is able to better cope with all the unevenness of the terrain. Moreover it is possible to verify that a higher influence of the sensors in the generation of the internal dynamics of the neural controller increases the adaptability and robustness degrees versus uncertainties and off-design conditions.

Published in:

2007 IEEE/ASME international conference on advanced intelligent mechatronics

Date of Conference:

4-7 Sept. 2007