Affordance learning for robotic grasping

James Wilson, Tao Geng, Michael Sheldon, Martin Hülse, Mark Lee

Research output: Contribution to conferencePosterpeer-review


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.
Original languageEnglish
Number of pages11
Publication statusPublished - Nov 2010
EventProc. 10th Int. Conf. on Epigenetic Robotics 2010 - , Sweden
Duration: 03 Oct 2010 → …


ConferenceProc. 10th Int. Conf. on Epigenetic Robotics 2010
Period03 Oct 2010 → …


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