2020
Peg-in-Hole Using 3D Workpiece Reconstruction and CNN-based Hole Detection
Michelangelo Nigro, Monica Sileo, Francesco Pierri, Katia Genovese, Domenico D. Bloisi, Fabrizio Caccavale
IROS 2020poster
This paper presents a method to cope with autonomous assembly tasks in the presence of uncertainties. To this aim, a Peg-in-Hole operation is considered, where the target workpiece position is unknown and the peg-hole clearance is small. Deep learning based hole detection and 3D surface reconstructi…