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Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks.

, , , , , , , and . ICRA, page 8943-8950. IEEE, (2019)

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Vision-Only Robot Navigation in a Neural Radiance World, , , , , , and . (2021)cite arxiv:2110.00168.Accurate Vision-based Manipulation through Contact Reasoning., , , , , and . ICRA, page 6738-6744. IEEE, (2020)Learning to Scaffold the Development of Robotic Manipulation Skills., , and . ICRA, page 5671-5677. IEEE, (2020)Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations., , , , and . Robotics: Science and Systems, (2020)ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer., , , , , , , and . CVPR, page 10588-10598. IEEE, (2022)Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning., , , , , and . CoRR, (2023)EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation., , , , , and . CoRR, (2023)ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking., , and . CoRR, (2023)Deep Learning Approaches to Grasp Synthesis: A Review., , , , , , , , , and 2 other author(s). CoRR, (2022)TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation., , , , and . IROS, page 8262-8268. IEEE, (2021)