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Towards shape-based visual object categorization for humanoid robots
2011
2011 IEEE International Conference on Robotics and Automation
Humanoid robots should be able to grasp and handle objects in the environment, even if the objects are seen for the first time. A plausible solution to this problem is to categorize these objects into existing classes with associated actions and functional knowledge. So far, efforts on visual object categorization using humanoid robots have either been focused on appearance-based methods or have been restricted to object recognition without generalization capabilities. In this work, a shape
doi:10.1109/icra.2011.5980065
dblp:conf/icra/Gonzalez-AguirreHRABD11
fatcat:sucl2tjd6zhwnawberm6tzpqqi