How to Reduce Computation Time While Sparing Performance During Robot Navigation? A Neuro-Inspired Architecture for Autonomous Shifting Between Model-Based and Model-Free Learning-Reference-Cited by-同舟云学术

How to Reduce Computation Time While Sparing Performance During Robot Navigation? A Neuro-Inspired Architecture for Autonomous Shifting Between Model-Based and Model-Free Learning

Published:2020 Issue: Volume: Page:68-79
ISSN:0302-9743
Container-title:Biomimetic and Biohybrid Systems
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Author:

Dromnelle Rémi^ORCID,Renaudo Erwan^ORCID,Pourcel Guillaume^ORCID,Chatila Raja^ORCID,Girard Benoît^ORCID,Khamassi Mehdi^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-64313-3_8

Reference19 articles.

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2. Dollé, L., Khamassi, M., Girard, B., Guillot, A., Chavarriaga, R.: Analyzing interactions between navigation strategies using a computational model of action selection. In: International Conference on Spatial Cognition, pp. 71–86 (2008)

3. Caluwaerts, K., et al.: A biologically inspired meta-control navigation system for the Psikharpax rat robot. Bioinspiration Biomimetics 7, 025009 (2012)

4. Zambelli, M., Demiris, Y.: Online multimodal ensemble learning using self-learned sensorimotor representations. IEEE Trans. Cogn. Dev. Syst. 9(2), 113–126 (2016)

5. Lecture Notes in Computer Science;J-P Banquet,2016

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