How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project
| dc.contributor.author | Soltoggio, Andrea | |
| dc.contributor.author | Steil, Jochen J. | |
| dc.date.accessioned | 2018-01-08T09:16:10Z | |
| dc.date.available | 2018-01-08T09:16:10Z | |
| dc.date.issued | 2012 | |
| dc.description.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. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11326 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 26, No. 4 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.subject | Adaptive behavior | |
| dc.subject | Compliant systems | |
| dc.subject | Learning | |
| dc.subject | Robotics | |
| dc.title | How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 410 | |
| gi.citation.startPage | 407 |