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Title: How rich motor skills empower robots at last: Insights and progress of the AMARSi project
Authors: Soltoggio, Andrea
Steil, Jochen
Keywords: Adaptive behavior
Compliant systems
Learning
Robotics
Issue Date: 2012
Publisher: © Springer
Citation: SOLTOGGIO, A. and STEIL, J., 2012. How rich motor skills empower robots at last: Insights and progress of the AMARSi project. Künstliche Intelligenz, 26 (4), pp. 407-410
Abstract: Flexible, robust, precise, adaptive, compliant and safe: these are some of the qualities robots must have to interact safely and productively with humans. Yet robots are still nowadays perceived as too rigid, clumsy and not sufficiently adaptive to work efficiently in interaction with people. The AMARSi Project endeavors to design and implement rich motor skills, unique flexibility, compliance and state-of-the-art learning in robots. Inspired by human-recorded motion and learning behavior, similarly versatile and constantly adaptive movements and skills endow robots with singularly human-like motor dynamics and learning. The AMARSi challenge is to integrate novel biological notions, advanced learning algorithms and cutting-edge compliant mechanics in the design of fully-fledged humanoid and quadruped robots with an unprecedented aptitude for integrating in our environments.
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s13218-012-0192-5.
Sponsor: This work was supported by the European Community’s Seventh Framework Programme FP7/2007-2013, Challenge 2 Cognitive Systems, Interaction, Robotics (Grant No. 248311—AMARSi).
Version: Accepted for publication
DOI: 10.1007/s13218-012-0192-5
URI: https://dspace.lboro.ac.uk/2134/16989
Publisher Link: http://dx.doi.org/10.1007/s13218-012-0192-5
Appears in Collections:Published Articles (Computer Science)

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