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@pearl-robot-lab

PEARL lab

Research codebase

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  1. rlmmbp rlmmbp Public

    Learning mobile manipulation behaviors through reinforcement learning

    Python 56 4

  2. ActPerMoMa ActPerMoMa Public

    Active Perceptive Motion Generation for Mobile Manipulation

    Python 34 1

  3. neugraspnet neugraspnet Public

    NeuGraspNet: Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering

    Python 21 5

  4. sampled_reachability_maps sampled_reachability_maps Public

    Generate reachability and base placement maps for mobile manipulators using pytorch_kinematics

    Python 20 3

  5. reachability_map_visualizer reachability_map_visualizer Public

    Visualizer for robot reachability and base placement maps (based on reuleaux)

    C++ 15 1

  6. MINT MINT Public

    Maximum Information keypoiNTs : Entropy-driven Unsupervised Keypoint Representation Learning in Videos (ICML 2023)

    Python 8

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