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  Using efference copy and a forward internal model for adaptive biped walking

Schröder-Schetelig, J., Manoonpong, P., & Wörgötter, F. (2010). Using efference copy and a forward internal model for adaptive biped walking. Autonomous Robots, 29(3-4), 357-366. doi:10.1007/s10514-010-9199-7.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-3614-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-3615-B
Genre: Journal Article

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Schröder-Schetelig, Johannes1, Author              
Manoonpong, Poramate, Author
Wörgötter, Florentin, Author
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1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

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 Abstract: To behave properly in an unknown environment, animals or robots must distinguish external from self-generated stimuli on their sensors. The biologically inspired concepts of efference copy and internal model have been successfully applied to a number of robot control problems. Here we present an application of this for our dynamic walking robot RunBot. We use efference copies of the motor commands with a simple forward internal model to predict the expected self-generated acceleration during walking. The difference to the actually measured acceleration is then used to stabilize the walking on terrains with changing slopes through its upper body component controller. As a consequence, the controller drives the upper body component (UBC) to lean forwards/backwards as soon as an error occurs resulting in dynamical stable walking. We have evaluated the performance of the system on four different track configurations. Furthermore we believe that the experimental studies pursued here will sharpen our understanding of how the efference copies influence dynamic locomotion control to the benefit of modern neural control strategies in robots.

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Language(s): eng - English
 Dates: 2010-07-162010-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1007/s10514-010-9199-7
BibTex Citekey: schroder-schetelig_using_2010
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Title: Autonomous Robots
Source Genre: Journal
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Publ. Info: Dordrecht : Kluwer Academic Publishers
Pages: - Volume / Issue: 29 (3-4) Sequence Number: - Start / End Page: 357 - 366 Identifier: ISSN: 0929-5593
CoNE: https://pure.mpg.de/cone/journals/resource/954925568789