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FDPP: Fine-tune Diffusion Policy with Human Preference
Toyota Research Institute Unveils Breakthrough in Robot Skill Learning: Diffusion Policy AI
Instant Policy: In-Context Imitation Learning via Graph Diffusion
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
Diffusion Policy Done Right: End-to-End Imitation Learning in ROS1-Gazebo
Learning Force-Conditioned Visuomotor Diffusion Policy for Complex Robotic Assembly Tasks
Diffusion Policy Controlling Robots - Part 1
Generalizable Humanoid Manipulation with 3D Diffusion Policies
Vision-Language-Action Model & Diffusion Policy Switching Enables Dexterous Control of an Robot Hand
Mastering Robots with Diffusion Policy: A Breakthrough in Visuomotor Learning
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Last Updated: October 20, 2026
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In this episode of *Robraintics*, we discuss LeRobot Research Presentation Presented by Cheng Chi in April 2024 cheng-chi.github.io This week: Max Simchowitz (Carnegie Mellon University) ... Sergey Levine (UC Berkeley) simons.berkeley.edu/talks/sergey-levine-uc-berkeley-2026-08-07 This is the supplementary video for the ICRA 25 publication on finetuning of Author: Vitalis Vosylius and Edward Johns Institution: The Are you getting poor or unstable performance from your Assembly operations in manufacturing, especially those involving precise alignment and force control, pose significant challenges ... This is the first session with Roger leading a discussion about check our paper: arxiv.org/abs/2410.14022 website: vla-diffu-switch.github.io/ To advance autonomous dexterous ... Links : : youtube.com/ Twitter: x.com/arxflix LMNT: lmnt.com/
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