awesome-robotics-diffusion
github.com/showlab/awesome-robotics-diffusion ↗A curated list of recent robot learning papers incorporating diffusion models for robotics tasks.
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Curated Resources
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Last Refreshed
BenchmarksDiffusion as PolicyDiffusion as SynthesizerTask Objectives and ApplicationsRobot Learning Utilizing Diffusion Model Properties
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me diffusion as policy resources from awesome-robotics-diffusion"
Installation instructions →What's inside
Diffusion as Policy
- 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
- 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
- ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation
- Composable Part-Based Manipulation
- Consistency policy: Accelerated visuomotor policies via consistency distillation
- Diffskill: Improving Reinforcement Learning Through Diffusion-Based Skill Denoiser for Robotic Manipulation
Robot Learning Utilizing Diffusion Model Properties
Diffusion as Synthesizer
- ARDuP: Active Region Video Diffusion for Universal Policies
- Autonomous Improvement of Instruction Following Skills via Foundation Models
- Cacti: A framework for scalable multi-task multi-scene visual imitation learning
- Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
- Compositional Foundation Models for Hierarchical Planning
- DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Task Objectives and Applications
- Autonomous Human-Robot Interaction via Operator Imitation
- DexDiffuser: Generating Dexterous Grasps with Diffusion Models
- Dexterous Functional Pre-Grasp Manipulation with Diffusion Policy
- Differentiable Robot Rendering
- EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning
- Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
Benchmarks
- Bridge data: Boosting generalization of robotic skills with cross-domain datasets
- BridgeData V2: A Dataset for Robot Learning at Scale
- CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks
- Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
- LIBERO: Benchmarking Knowledge Transfer in Lifelong Robot Learning
- Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Showing a sample of 68 resources. View the full list on GitHub →