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dc.contributor.author Wilson, James
dc.contributor.author Geng, Tao
dc.contributor.author Sheldon, Michael
dc.contributor.author Hülse, Martin
dc.contributor.author Lee, Mark
dc.date.accessioned 2010-12-07T12:00:08Z
dc.date.available 2010-12-07T12:00:08Z
dc.date.issued 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 , 3/10/10 , pp. 170-180 . en
dc.identifier.citation conference en
dc.identifier.other PURE: 154945
dc.identifier.other dspace: 2160/5988
dc.identifier.uri http://hdl.handle.net/2160/5988
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.title Affordance learning for robotic grasping en
dc.type Still image en
dc.type.publicationtype Conference 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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