Overview to Diffusion Policy Controlling Robots Part 1
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Main Features
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Recent Updates
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Why Diffusion Policy Is Changing Robot Learning
Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
Autonomous Bimanual Diffusion Policy Deployed on Robot Arm (YuMi IRB14000)
DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation
DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Datasets
Diffusion Policy Based walking Controller for Bipedal Robot (Stoch-Biro) in Unseen environments.
Detailed Analysis
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Last Updated: August 19, 2026
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