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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5 results for “robotics research” · Research
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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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Research
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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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.
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Simultaneous Localization and Mapping (SLAM): Part I — The Essential Algorithms
A tutorial treatment of the probabilistic foundations and core formulations of SLAM.