Research
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
The paper presents a mobile bimanual teleoperation system and imitation-learning experiments for household-style tasks.
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5 results for “reinforcement learning” · Research
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Research
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
The work studies closed-loop grasping learned from a large collection of robot interaction data.
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Research
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
The work applies diffusion models to generate robot action sequences from observations.
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
The project aggregates robot demonstration data across institutions and studies models trained across different robot embodiments.
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Research
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
The paper describes vision-language-action models that represent robot actions alongside visual and language inputs.