GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation
技术动态
来源：arXiv cs.RO发布时间待核实
arXiv:2608.19759v1 Announce Type: new Abstract: Multifingered grasping is a crucial robotic skill, but current deep-learning grasp planners often struggle to generalize to new objects because they are trained on limited, object-specific datasets. We introduce a fundamentally different approach, grounded in the observation that the gripper and the object share identical surface geometry at their mutual contact points.