Our research focuses on robotic hardware and algorithms, from sensing to control to perception to manipulation.

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    Latest news in robotics

    Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.

    A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.

    A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.

    Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

    With generative AI models, researchers combined robotics data from different sources to help robots learn better.

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