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Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations

, , , , , , and . 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), page 7770-7777. Piscataway, IEEE, (2021)
DOI: 10.1109/IROS51168.2021.9636828

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Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations, , , , , , and . 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), page 7770-7777. Piscataway, IEEE, (2021)Orientation Probabilistic Movement Primitives on Riemannian Manifolds., and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 373-383. PMLR, (2021)Interactive Trajectory Adaptation through Force-guided Bayesian Optimization.. CoRR, (2019)Kernelized Movement Primitives., , , and . CoRR, (2017)Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints., , , and . IROS, page 1024-1030. IEEE, (2015)Learning Force-Based Robot Skills from Haptic Demonstration., , and . CCIA, volume 210 of Frontiers in Artificial Intelligence and Applications, page 331-340. IOS Press, (2010)Bimanual Skill Learning with Pose and Joint Space Constraints., , , and . Humanoids, page 153-159. IEEE, (2018)Geometry-aware Tracking of Manipulability Ellipsoids., , , and . Robotics: Science and Systems, (2018)Bi-Manual Articulated Robot Teleoperation using an External RGB-D Range Sensor., , , , , , and . ICARCV, page 298-304. IEEE, (2018)Transfer learning of shared latent spaces between robots with similar kinematic structure., , , and . IJCNN, page 4142-4149. IEEE, (2017)