4 accepted papers
Robotic sole deburring is a key, yet underexplored, challenge in footwear automation, where the deformable nature of rubber, variability of burrs, and diversity of sole geometries make automation difficult. Existing deburring approaches typically rely on CAD models or large training datasets, and of…
Today, intelligent robotic manufacturing systems are reshaping the production industry. Using robots as actuators, multi-source sensors for perception, and Artificial Intelligence (AI) as decision-making systems, they can perform routine manufacturing tasks, surpassing the capabilities of traditiona…
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…