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Maxime Petit

2 accepted papers

2016

Hierarchical action learning by instruction through interactive grounding of body parts and proto-actions

ICRA 2016

Learning by instruction allows humans programming a robot to achieve a task using spoken language, without the requirement of being able to do the task themselves, which can be problematic for users with motor impairments. We provide a developmental framework to program the humanoid robot iCub witho

Cited by 9SourceScholar
2016

Kinematic Structure Correspondences via Hypergraph Matching

CVPR 2016poster

In this paper, we present a novel framework for finding the kinematic structure correspondence between two objects in videos via hypergraph matching. In contrast to prior appearance and graph alignment based matching methods which have been applied among two similar static images, the proposed metho…

Cited by 17PDFScholar