2020
A Learning-based Robotic Bin-picking with Flexibly Customizable Grasping Conditions
IROS 2020poster
A practical robotic bin-picking system requires a high grasp success rate for various objects. Also, the system must be capable of coping with various constraints and their changes flexibly. To resolve these issues, this study proposes a novel deep learning-based method that exploits a simulator to…