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Design and Adaptive Depth Control of a Micro Diving Agent.

, , , , and . IEEE Robotics Autom. Lett., 2 (4): 1871-1877 (2017)

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Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision., , , , and . CoRR, (2022)Learning a deep neural net policy for end-to-end control of autonomous vehicles., , , , , and . ACC, page 4914-4919. IEEE, (2017)Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities., , , , , , , , and . CASE, page 1124-1131. IEEE, (2021)Residual Reinforcement Learning for Robot Control., , , , , , , , and . ICRA, page 6023-6029. IEEE, (2019)Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects., , , , and . IROS, page 2062-2069. IEEE, (2018)Learning to Efficiently Plan Robust Frictional Multi-Object Grasps., , , , , , , , , and . CoRR, (2022)IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors., , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 2340-2356. PMLR, (2023)Towards a hyperbolic acoustic one-way localization system for underwater swarm robotics., , , , , and . ICRA, page 4551-4556. IEEE, (2016)Learning environmental fields with micro underwater vehicles: a path integral - Gaussian Markov random field approach., and . Auton. Robots, 42 (4): 761-780 (2018)Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards., , , , , , and . CoRR, (2019)