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@stanford-iprl-lab

Stanford Interactive Perception and Robot Learning Lab

We seek to understand the underlying principles of robust sensorimotor coordination by implementing them on robots. This is the place for our Open Source code.

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  1. torchfilter torchfilter Public

    Bayesian filters in PyTorch

    Python 157 24

  2. multimodal_representation multimodal_representation Public

    Python 93 19

  3. UniGrasp UniGrasp Public

    Implementation of " UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands"

    Python 78 11

  4. GRAC GRAC Public

    implementation of our self-guided and self-regularized actor-critic algorithm

    Python 30 4

  5. Concept2Robot Concept2Robot Public

    simulations used in "Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations"

    Python 28 6

  6. sceneflownet sceneflownet Public

    Motion-based Object Segmentation based on Dense RGB-D Scene Flow

    Python 26 6

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