Random Bin Picking of Unknown Objects: Development of a Modular System Architecture using Synthetic Datasets and Deep Learning KU Leuven
Grasping is a core task that often needs to be performed by a robotic system, and has been widely adopted in manufacturing, medicine, warehousing and explorative scientific research. However, robotic bin picking of unknown objects remains challenging due to limitations in robotic perception, situational awareness, and control.
In this dissertation, the author proposes a grasping system architecture for the random bin picking of unknown ...