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Learning Task-Parameterized Skills From Few Demonstrations.

, , and . IEEE Robotics Autom. Lett., 7 (2): 4063-4070 (2022)

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Learning Task-Parameterized Skills From Few Demonstrations., , and . IEEE Robotics Autom. Lett., 7 (2): 4063-4070 (2022)Deep Metric Imitation Learning for Stable Motion Primitives., , and . CoRR, (2023)Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration., , , and . CoRR, (2022)OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics., , , , , , , , , and 8 other author(s). IROS, page 12479-12484. IEEE, (2022)Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments., , , , and . ICRA, page 3628-3634. IEEE, (2023)Development and testing of a prototype of a dental extraction trainer with real-time feedback on forces, torques, and angular velocity., , , , , , , , , and 1 other author(s). EMBC, page 3285-3290. IEEE, (2022)Uncertainties based queries for Interactive policy learning with evaluations and corrections., and . ICMI Companion, page 192-193. ACM, (2021)Tactile-Based Self-supervised Pose Estimation for Robust Grasping., , and . ISER, volume 19 of Springer Proceedings in Advanced Robotics, page 277-284. Springer, (2020)Simultaneously learning intentions and preferences during physical human-robot cooperation., , and . Auton. Robots, 48 (4-5): 11 (July 2024)Experience Selection in Deep Reinforcement Learning for Control., , , and . J. Mach. Learn. Res., (2018)