Media Summary: LeRobot Research Presentation Presented by Cheng Chi in April 2024 This week: This is the first session with Roger leading a discussion about Princeton University - Nov 3, 2023 Speaker: Russ Tedrake (MIT) Talk title: Dexterous Manipulation with

Boost Your Diffusion Policy A - Detailed Analysis & Overview

LeRobot Research Presentation Presented by Cheng Chi in April 2024 This week: This is the first session with Roger leading a discussion about Princeton University - Nov 3, 2023 Speaker: Russ Tedrake (MIT) Talk title: Dexterous Manipulation with This is the supplementary video for the ICRA 25 publication on finetuning of In this AI Research Roundup episode, Alex discusses the paper: 'Compose Roger led this the second session of a discussion on

In this episode of *Robraintics*, we discuss why DOI: 10.1109/LRA.2024.3363530 Published in: IEEE Robotics and AutomationĀ ...

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Boost your Diffusion Policy: A Kernel Density Estimation Strategy
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi
Diffusion Policy Controlling Robots - Part 1
Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies
FDPP: Fine-tune Diffusion Policy with Human Preference
Test-Time Composition for Robot Diffusion Policies
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
[research] Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Diffusion Policy Controlling Robots - Part 2
Mastering Robots with Diffusion Policy: A Breakthrough in Visuomotor Learning
Why Diffusion Policy Is Changing Robot Learning
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Boost your Diffusion Policy: A Kernel Density Estimation Strategy

Boost your Diffusion Policy: A Kernel Density Estimation Strategy

Learning robot

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning

We present refine DP

Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi

Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi

LeRobot Research Presentation #2 Presented by Cheng Chi in April 2024 https://cheng-chi.github.io This week:

Diffusion Policy Controlling Robots - Part 1

Diffusion Policy Controlling Robots - Part 1

This is the first session with Roger leading a discussion about

Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

Princeton University - Nov 3, 2023 Speaker: Russ Tedrake (MIT) Talk title: Dexterous Manipulation with

FDPP: Fine-tune Diffusion Policy with Human Preference

FDPP: Fine-tune Diffusion Policy with Human Preference

This is the supplementary video for the ICRA 25 publication on finetuning of

Test-Time Composition for Robot Diffusion Policies

Test-Time Composition for Robot Diffusion Policies

In this AI Research Roundup episode, Alex discusses the paper: 'Compose

Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

Video presentation of "Fast

[research] Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

[research] Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Diffusion Policy: The

Diffusion Policy Controlling Robots - Part 2

Diffusion Policy Controlling Robots - Part 2

Roger led this the second session of a discussion on

Mastering Robots with Diffusion Policy: A Breakthrough in Visuomotor Learning

Mastering Robots with Diffusion Policy: A Breakthrough in Visuomotor Learning

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Why Diffusion Policy Is Changing Robot Learning

Why Diffusion Policy Is Changing Robot Learning

In this episode of *Robraintics*, we discuss why

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning

https://ieeexplore.ieee.org/document/10423845 DOI: 10.1109/LRA.2024.3363530 Published in: IEEE Robotics and AutomationĀ ...