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Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects.

, , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 377-393. PMLR, (2020)

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Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones., , , , , , , , , and . IEEE Robotics Autom. Lett., 6 (3): 4915-4922 (2021)Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor., , , , , , , , , and 4 other author(s). IROS, page 9651-9658. IEEE, (2020)Untangling Dense Knots by Learning Task-Relevant Keypoints., , , , , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 782-800. PMLR, (2020)Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects., , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 377-393. PMLR, (2020)LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks., , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 959-969. PMLR, (2021)Scalable Supervision for Safe and Efficient Online Robot Learning. University of California, Berkeley, USA, (2022)Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images., , , , , , , , , and 3 other author(s). CoRR, (2020)On-Policy Robot Imitation Learning from a Converging Supervisor., , , , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 24-41. PMLR, (2019)Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks., , , , , , , , and . IEEE Robotics Autom. Lett., 5 (2): 3612-3619 (2020)ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions., , , , , and . WAFR, volume 17 of Springer Proceedings in Advanced Robotics, page 1-17. Springer, (2021)