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Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.

A. Tanwani, J. Lee, B. Thananjeyan, M. Laskey, S. Krishnan, R. Fox, K. Goldberg, and S. Calinon. WAFR, volume 14 of Springer Proceedings in Advanced Robotics, page 196-211. Springer, (2018)

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ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions.B. Thananjeyan, A. Balakrishna, U. Rosolia, J. Gonzalez, A. Ames, and K. Goldberg. CoRR, (2020)MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects.A. Ganapathi, P. Sundaresan, B. Thananjeyan, A. Balakrishna, D. Seita, R. Hoque, J. Gonzalez, and K. Goldberg. CoRR, (2020)Safe Reinforcement Learning Using Learned Safe SetsB. Thananjeyan. University of California, Berkeley, USA, (2022)SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards.S. Krishnan, A. Garg, R. Liaw, B. Thananjeyan, L. Miller, F. Pokorny, and K. Goldberg. WAFR, volume 13 of Springer Proceedings in Advanced Robotics, page 672-687. Springer, (2016)Disentangling Dense Multi-Cable Knots.V. Viswanath, J. Grannen, P. Sundaresan, B. Thananjeyan, A. Balakrishna, E. Novoseller, J. Ichnowski, M. Laskey, J. Gonzalez, and K. Goldberg. IROS, page 3731-3738. IEEE, (2021)Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data.P. Sundaresan, J. Grannen, B. Thananjeyan, A. Balakrishna, M. Laskey, K. Stone, J. Gonzalez, and K. Goldberg. ICRA, page 9411-9418. IEEE, (2020)Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks.M. Hwang, B. Thananjeyan, S. Paradis, D. Seita, J. Ichnowski, D. Fer, T. Low, and K. Goldberg. IEEE Robotics Autom. Lett., 5 (4): 5937-5944 (2020)Untangling Dense Knots by Learning Task-Relevant Keypoints.J. Grannen, P. Sundaresan, B. Thananjeyan, J. Ichnowski, A. Balakrishna, M. Hwang, V. Viswanath, M. Laskey, J. Gonzalez, and K. Goldberg. CoRR, (2020)Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles.A. Wilcox, J. Kerr, B. Thananjeyan, J. Ichnowski, M. Hwang, S. Paradis, D. Fer, and K. Goldberg. ICRA, page 9637-9643. IEEE, (2022)Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.A. Ganapathi, P. Sundaresan, B. Thananjeyan, A. Balakrishna, D. Seita, J. Grannen, M. Hwang, R. Hoque, J. Gonzalez, N. Jamali and 3 other author(s). ICRA, page 11515-11522. IEEE, (2021)

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Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.

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Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.