MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects
Junho Lee,Junhwa Hur,Inwoo Hwang,Young Min Kim,Junho Lee,Junhwa Hur,Inwoo Hwang,Young Min Kim
In this paper, we introduce a mask-based grasping method that discerns multiple objects within the scene regard-less of transparency or specularity and finds the optimal grasp position avoiding clutter. Conventional vision-based robotic grasping approaches often fail to extend to the scenes containing transparent objects due to their different visual appearance. To handle the different visual char...
