Shreya Bollimuntha
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View article: DG16M: A Large-Scale Dataset for Dual-Arm Grasping with Force-Optimized Grasps
DG16M: A Large-Scale Dataset for Dual-Arm Grasping with Force-Optimized Grasps Open
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…
View article: DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control
DA-VIL: Adaptive Dual-Arm Manipulation with Reinforcement Learning and Variable Impedance Control Open
Dual-arm manipulation is an area of growing interest in the robotics community. Enabling robots to perform tasks that require the coordinated use of two arms, is essential for complex manipulation tasks such as handling large objects, asse…