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Research
manipulate-anything · Robot-MA
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models [CoRL 2024]
Robot policiesTHE EMBODIED AI DIRECTORY
Robot policies
Find imitation-learning and learned-control policies for robotic tasks.
Repository
Research
Repository
Research
multitask_dit_policy · brysonjones
An open-source implementation of Multitask Diffusion Transformer (DiT) Policy for robot manipulation as seen on Boston Dynamics Atlas Humanoid and in "A Careful Examination of Large Behavior…
Robot policies
Repository
Repository
Research
PULSE · ZhengyiLuo
Official Implementation of the ICLR 2024 spotlight paper: Universal Humanoid Motion Representations for Physics-Based Control
Robot policies
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RoboGhost · gentlefress
The code of paper "From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance" accepted by ICLR'26
Robot policies
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RoboOmni · OpenMOSS
A proactive robot manipulation model for multimodal physical environments
Robot policies
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RTWholeBodyMPPI · jrapudg
We present the first successful deployment of a whole-body sampling-based MPC system on a real-world quadruped robot. Our approach enables real-time, contact-rich locomotion and manipulation using…
Robot policies
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RynnValue · alibaba-damo-academy
RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
Robot policies
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Scalable-Imitation-Learning-for-LMAPF · DiligentPanda
This is code repo for the paper, Depolying Ten Thousand Robots: Scalable Imitation Learninig for Lifelong Mulit-Agent Path Finding, which won the ICRA 2025 best paper on multi-robot systems and…
Robot policies
Repository
Research
ScaleBFM · zengweishuai
The official implementation of the paper "Scaling Behavior Foundation Model for Humanoid Robots"
Robot policies
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simtoolreal · tylerlum
Official implementation of SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
Robot policies
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UHC · ZhengyiLuo
Official Implementation of the Universal Humanoid Controller in Mujoco. Supports Kinpoly (NeurIPS 2021) and EmbodiedPose (NeurIPS 2022).
Robot policies
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wasabi · martius-lab
Repository for our paper: Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations Proceedings of the 6th Conference on Robot Learning (CoRL),
Robot policies
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Weave · xiaohu-art
Learning Whole-Body Dexterous Loco-Manipulation from Human–Object Interactions
Robot policies
Repository
Research
XRZero-G0 · X-Square-Robot
XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios
Robot policies
Repository
Research
YOTO · hnuzhy
Code for my paper "You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations"
Robot policiesSELECTION NOTES
Choosing robot policies
Check how actions are represented and what demonstrations or rewards were used. Assess distribution shift and closed-loop behavior before using a trained policy on a different robot.
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