3 accepted papers
Robust and adaptive robotic peg-in-hole assembly under tight tolerance is critical to various industrial applications. Still, it remains an open challenge due to perception and physical uncertainties from contact-rich interactions that easily exceed the allowed clearance. In this paper, we study how…
Successful execution of dexterous robotic manipulation tasks in new environments, such as grasping, depends on the ability to proficiently segment unseen objects from the background and other objects. Previous works in unseen object instance segmentation (UOIS) train models on large-scale datasets,
In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other objects. Previous works perform unseen object instance segmentation (UOIS) by training deep neural networks on large-scal…