Grasp Transfer for Deformable Objects by Functional Map Correspondence
Cristiana De Farias,Brahim Tamadazte,Rustam Stolkin,Naresh Marturi,Cristiana De Farias,Brahim Tamadazte,Rustam Stolkin,Naresh Marturi
Handling object deformations for robotic grasping is still a major problem to solve. In this paper, we propose an efficient learning-free solution for this problem where generated grasp hypotheses of a region of an object are adapted to its deformed configurations. To this end, we investigate the applicability of functional map (FM) correspondence, where the shape matching problem is treated as se...
