Mahesh Reddy Tapeti

DG16M: A Large-Scale Dataset for Dual-Arm Grasping with Force-Optimized Grasps

Dual-arm robotic grasping is crucial for handling large objects that require stable and coordinated manipulation. While single-arm grasping has been extensively studied, datasets tailored for dual-arm settings remain scarce. We introduce a large-scale dataset of 16 million dual-arm grasps, evaluated