KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data.
CoRR, 2024
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.
CoRR, 2024
Autonomous Improvement of Instruction Following Skills via Foundation Models.
CoRR, 2024
Evaluating Real-World Robot Manipulation Policies in Simulation.
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CoRR, 2024
Octo: An Open-Source Generalist Robot Policy.
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Proceedings of the Robotics: Science and Systems XX, 2024
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models.
CoRR, 2023
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching.
CoRR, 2023
BridgeData V2: A Dataset for Robot Learning at Scale.
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Proceedings of the Conference on Robot Learning, 2023
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.
Proceedings of the Conference on Robot Learning, 2023
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks.
Proceedings of the Conference on Robot Learning, 2022
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator.
CoRR, 2021
Learning to Infer Shape Programs Using Latent Execution Self Training.
CoRR, 2020