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Training generalist agents capable of solving diverse tasks is challenging, often requiring large datasets of expert demonstrations.
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Rt-1: Robotics transformer for real-world control at scale
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Perceiver-actor: A multi-task transformer for robotic manipulation
M. Shridhar, L. Manuelli, and D. Fox · 2023
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Llama: Open and efficient foundation language models
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Mimicplay: Long-horizon imitation learning by watching human play
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Learning fine-grained bimanual manipulation with low-cost hardware
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
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Open teach: A versatile teleoperation system for robotic manipulation
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Vid2robot: End-to-end video-conditioned policy learning with cross-attention transformers, 2024
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Droid: A large-scale in-the-wild robot manipulation dataset
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Libero: Benchmarking knowledge transfer for lifelong robot learning
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