GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Zhan Liu,Ziwei Wang,Sichao Huang,Jie Zhou,Jiwen Lu,Zhan Liu,Ziwei Wang,Sichao Huang,Jie Zhou,Jiwen Lu
Grasping in dense clutter is a fundamental skill for autonomous robots. However, the crowdedness and oc-clusions in the cluttered scenario cause significant difficul-ties to generate valid grasp poses without collisions, which results in low efficiency and high failure rates. To address these, we present a generic framework called GE-Grasp for robotic motion planning in dense clutter, where we lev...
