Show simple item record Wilson, James Geng, Tao Sheldon, Michael Hülse, Martin Lee, Mark 2010-12-07T12:00:08Z 2010-12-07T12:00:08Z 2010-11
dc.identifier.citation Wilson , J , Geng , T , Sheldon , M , Hülse , M & Lee , M 2010 , ' Affordance learning for robotic grasping ' Proc. 10th Int. Conf. on Epigenetic Robotics 2010 , Sweden , 03/10/2010 , pp. 170-180 . en
dc.identifier.citation conference en
dc.identifier.other PURE: 154945
dc.identifier.other PURE UUID: bbe69694-738f-45d3-8ce2-341bf9e42552
dc.identifier.other dspace: 2160/5988
dc.identifier.other DSpace_20121128.csv: row: 3826
dc.identifier.other Scopus: 84878283251
dc.description Wilson, J., Geng, Tao, G., Sheldon, M., Huelse, M., Lee, M.: Affordance learning for robotic grasping. In: Johansson, B., Sahin, E., Balkenius, Ch. (Eds) Proc. 10th Int. Conf. on Epigenetic Robotics 2010 (EpiRob 2010), Lund University Cognitive Studies, 149, Sweden, 2010, 170-180. en
dc.description.abstract This paper describes a prototype robot grasping system that uses human grasping synergies and a self-organizing map to learn object affordances. The bio-inspired design of the system is presented as well as some of the results from affordance learning. en
dc.format.extent 11 en
dc.language.iso eng
dc.relation.ispartof en
dc.rights en
dc.title Affordance learning for robotic grasping en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontoconference/poster en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en

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