E. Amir Ghalamzan

dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry Picking Robot

This paper presents a novel probabilistic approach to deep robot learning from demonstrations (LfD). Deep move-ment primitives (DMPs) are deterministic LfD model that maps visual information directly into a robot trajectory. This paper extends DMPs and presents a deep probabilistic model that maps t…