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SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning.

, , , , , and . ICRA, page 98-105. IEEE, (2022)

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Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering., , , , , , and . Robotics Auton. Syst., (2022)UKPGAN: A General Self-Supervised Keypoint Detector., , , , , and . CVPR, page 17021-17030. IEEE, (2022)Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge., , , , , , and . CoRR, (2019)Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter., , , , , , and . CoRR, (2019)ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics., , , , , , , , and . CoRR, (2024)GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB-XYZ fusion in dense clutter., , , , , and . Mach. Vis. Appl., 31 (7): 58 (2020)Compact Holographic Read/Write Memory., and . IEEE Symposium on Mass Storage Systems, page 443-456. (2000)Deep learning for picking point detection in dense cluster., , , , , , , , , and . ASCC, page 1644-1649. IEEE, (2017)UKPGAN: Unsupervised KeyPoint GANeration., , , , and . CoRR, (2020)SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning., , , , , and . ICRA, page 98-105. IEEE, (2022)