3 accepted papers
Labour shortage, difficulties in labour management, the digitalization of fruit production pipeline to reduce the fruit production costs have made robotic systems for selective harvesting of strawberries an important industry and academic research. One of the important components of such technologie…
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…
Human activity/behaviour monitoring and recognition is a key for facilitating humans robot interaction, and allows robots for a better scheduling of future operations. It is challenging and often addressed at different levels, such as human activity classification, future activity prediction and mon…