Calandra, RobertoOwens, AndrewUpadhyaya, ManuYuan, WenzhenLin, JustinAdelson, Edward H.Levine, Sergey2025-02-162025-02-1620172025-02-16https://opara.zih.tu-dresden.de/handle/123456789/1172https://doi.org/10.25532/OPARA-700This dataset contains 9269 robotic grasps collected from 106 objects, and their corresponding outcome. The hardware used consists of a 7-DoF Sawyer arm, a Weiss WSG-50 parallel gripper, one Microsoft Kinect 2, and two GelSight sensors, one for each finger.Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/4::44::409::409-05The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?