Seyed Reza Ahmadzadeh — accepted AI-conference papers

2017

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

CoRL 2017

In this paper, we present Combined Learning from demonstration And Motion Planning (CLAMP) as an efficient approach to skill learning and generalizable skill reproduction. CLAMP combines the strengths of Learning from Demonstration (LfD) and motion planning into a unifying framework. We carry out pr

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2015

Learning symbolic representations of actions from human demonstrations

Seyed Reza Ahmadzadeh, Ali Paikan, Fulvio Mastrogiovanni, Lorenzo Natale, Petar Kormushev, Darwin G. Caldwell

ICRA 2015poster

In this paper, a robot learning approach is proposed which integrates Visuospatial Skill Learning, Imitation Learning, and conventional planning methods. In our approach, the sensorimotor skills (i.e., actions) are learned through a learning from demonstration strategy. The sequence of performed act…

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