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@safe-robotics-lab-gt

Safe Robotics Lab @GT

We seek to build full-stack robotic systems that are not only safe, but also SAFE: Smart, Agile, Flexible, and Engaging.

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  1. PARC PARC Public

    A motion planning framework for reach-avoid problems with low conservatism

    MATLAB 4 3

  2. hybZonoTraining hybZonoTraining Public

    Train the image of your ReLU network to avoid non-convex unsafe sets

    Python 3

  3. NeuralPARC NeuralPARC Public

    Guaranteed reach-avoid for black-box robotic systems with low conservativeness

    MATLAB 1 2

  4. safe-robotics-lab-gt.github.io safe-robotics-lab-gt.github.io Public

  5. rail rail Public

  6. BinocularStereoVision_IsaacSim BinocularStereoVision_IsaacSim Public

    Python

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