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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation.

, , , , and . CVPR, page 165-174. Computer Vision Foundation / IEEE, (2019)

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KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation., , , and . ISRR, volume 20 of Springer Proceedings in Advanced Robotics, page 132-157. Springer, (2019)DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation., , , , and . CVPR, page 165-174. Computer Vision Foundation / IEEE, (2019)Self-Supervised Correspondence in Visuomotor Policy Learning., , and . IEEE Robotics Autom. Lett., 5 (2): 492-499 (2020)Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation., , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 373-385. PMLR, (2018)NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search Over Local 3D Data., , , and . ICRA, page 7631-7638. IEEE, (2018)Label Fusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes., , , and . ICRA, page 1-8. IEEE, (2018)Aggressive quadrotor flight through cluttered environments using mixed integer programming., , , and . ICRA, page 1469-1475. IEEE, (2016)Trajectory Optimization with Optimization-Based Dynamics., , , , , and . IEEE Robotics Autom. Lett., 7 (3): 6750-6757 (2022)Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning., , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 693-710. PMLR, (2020)A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes., , , and . CoRR, (2017)