Massive Dataset Boosts Robot Grasping Success Rate To 91%
DG16M: 16M force-optimized grasps for 2,000+ objects. Achieves 91% grasp execution success on real robots. Enables research in bimanual manipulation & general object handling.
This is a Plain English Papers summary of a research paper called Massive Dataset of 16M Robot Grasps Achieves 91% Success Rate in Two-Handed Object Manipulation. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview DG16M is a large-scale dataset for dual-arm robot grasping Contains 16 million force-optimized grasps for 2,000+ objects Includes a grasp scoring system that optimizes contact forces Demonstrates 91% grasp execution success on real robots Enables research in bimanual manipulation and general object handling Plain Eng...