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PaCo: Parameter-Compositional Multi-task Reinforcement Learning., , , и . NeurIPS, (2022)Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss., , , , , и . ICRA, стр. 721-727. IEEE, (2022)Cross Domain Robot Imitation with Invariant Representation., , , , и . ICRA, стр. 455-461. IEEE, (2022)Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks., , , , , , , и . ICRA, стр. 14054-14061. IEEE, (2024)6-DoF Contrastive Grasp Proposal Network., , , и . ICRA, стр. 6371-6377. IEEE, (2021)Control of Soft Pneumatic Actuators with Approximated Dynamical Modeling., , , , , , , и . ROBIO, стр. 1-8. IEEE, (2023)Distributed Multi-Agent Interaction Generation with Imagined Potential Games., , , , и . ACC, стр. 143-150. IEEE, (2024)Interactive Prediction for Multiple, Heterogeneous Traffic Participants with Multi-Agent Hybrid Dynamic Bayesian Network., , , и . ITSC, стр. 1025-1031. IEEE, (2019)Diverse Critical Interaction Generation for Planning and Planner Evaluation., , , , и . IROS, стр. 7036-7043. IEEE, (2021)Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction., , , , , , , и . IROS, стр. 13034-13041. IEEE, (2022)