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RSL-RL
Reinforcement-learning tools for robotic locomotion training.
Robot learning frameworksTHE EMBODIED AI DIRECTORY
Find training workflows for imitation learning, reinforcement learning and robotic policy adaptation.
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Reinforcement-learning tools for robotic locomotion training.
Robot learning frameworks
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Isaac Gym environments for legged robot learning.
Robot learning frameworks
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StarVLA provides modular code for developing vision-language-action models.
Robot learning frameworks
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EmbodiInfer provides inference and reinforcement-learning rollout infrastructure for embodied models.
Robot learning frameworks
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EmbodiRun provides a runtime connecting embodied models with compute nodes and robots or simulators.
Robot learning frameworks
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Dexbotic provides a toolbox for vision-language-action model development.
Robot learning frameworks
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ROS-Industrial support packages for Universal Robots arms.
Robot learning frameworks
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URDFs and assets for robot manipulation experiments.
Robot learning frameworks
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Toolkit for model-based robotics design, simulation, and analysis.
Robot learning frameworks
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ROS-Industrial support packages for Fanuc robots.
Robot learning frameworks
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SOFA-based soft-robot RL with domain randomization.
Robot learning frameworks
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ROS packages for Hello Robot Stretch mobile manipulators.
Robot learning frameworks
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RLinf ActProbe adds probe-based early termination to embodied-policy reinforcement learning.
Robot learning frameworks
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A plug-and-play deploy framework for robots. Just deploy, just do.
Robot learning frameworks
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RoboHive provides a framework and task suites for robot learning.
Robot learning frameworks
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ROS 2 driver for the Kinova Gen3 robot arm.
Robot learning frameworks
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Robot model collection for OpenRAVE.
Robot learning frameworks
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A visual fiducial system for robotics research.
Robot learning frameworks
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Main software repository for the iCub humanoid robot.
Robot learning frameworks
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Examples for deploying ROS and ROS 2 workloads on Kubernetes and KubeEdge.
Robot learning frameworks
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Research code for injecting robotic affordances into multimodal language models.
Robot learning frameworksSELECTION NOTES
Check data formats, observation/action interfaces and supported environments. Distinguish a framework’s training infrastructure from the licenses and requirements of individual policies.
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