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Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks.

, , , , , and . IROS, page 1010-1017. IEEE, (2019)

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Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks., , , , , and . IROS, page 1010-1017. IEEE, (2019)See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation., , , , , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1368-1378. PMLR, (2022)Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors., , , and . CoRR, (2020)Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning., , , , , , and . ICRA, page 7505-7512. IEEE, (2020)Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks., , , , , , , and . ICRA, page 8943-8950. IEEE, (2019)Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors., , , and . ICRA, page 909-916. IEEE, (2021)Differentiable Factor Graph Optimization for Learning Smoothers., , , , and . IROS, page 1339-1345. IEEE, (2021)Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks., , , and . ICRA, page 3410-3417. IEEE, (2021)Multimodal Sensor Fusion with Differentiable Filters., , , , and . IROS, page 10444-10451. IEEE, (2020)MultiBench: Multiscale Benchmarks for Multimodal Representation Learning., , , , , , , , , and 2 other author(s). NeurIPS Datasets and Benchmarks, (2021)