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LearningHumanoidWalking · rohanpsingh
Training a humanoid robot for locomotion using Reinforcement Learning
Robot learning frameworksTHE EMBODIED AI DIRECTORY
Find training workflows for imitation learning, reinforcement learning and robotic policy adaptation.
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Training a humanoid robot for locomotion using Reinforcement Learning
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Publishes robot link transforms from joint states and robot descriptions.
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Examples for deploying ROS and ROS 2 workloads on Kubernetes and KubeEdge.
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Modular reinforcement-learning tools for control and simulation workflows.
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Research code for injecting robotic affordances into multimodal language models.
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Tools for experimenting with low-cost AI robots.
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A URDF model of the Robotiq 2-Finger Adaptive Gripper 85.
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Official repository for "OMG: Omni-Modal Motion Generation for Generalist Humanoid Control", https://arxiv.org/abs/2606.10340.
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A C++ behavior-tree library for task coordination.
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Model packages for the Walkman robot demonstration.
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Research code for reinforcement learning with learned skill priors.
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Implementations of RVT and RVT-2 robot manipulation policies.
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Research implementation of an open-ended language-model agent in Minecraft.
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A benchmark for language-grounded robot manipulation in realistic 3D scenes.
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AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World | CoRL 2025
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Official Codebase for "Do as I Do: Dexterous Manipulation Data from Everyday Human Videos"
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Video-Action Models for Generalizable Robot Control Beyond VLAs
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URDF, SDF, and mesh assets for robotics projects.
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Motion-capture data collection tools for dexterous robot manipulation.
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A Rust robot runtime for deterministic execution and replay.
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Tools for reading Dex-Net object, grasp and grasp-quality data.
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URDF and mesh assets for the Agility Robotics Digit robot.
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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