Diffusion Policy For Pusht Robotic

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

Diffusion Policy For Pusht Robotic - Detailed Analysis & Overview

LeRobot Research Presentation Presented by Cheng Chi in April 2024 This week: Princeton University - Nov 3, 2023 Speaker: Russ Tedrake (MIT) Talk title: Dexterous Manipulation with This is the first session with Roger leading a discussion about This is the supplementary video for the ICRA 25 publication on finetuning of In this episode of *Robraintics*, we discuss why M. Makarova, Q. Liu, and D. Tsetserukou, “DiffusionRL: Efficient Training of

Roger led this the second session of a discussion on This video serves as a comprehensive coding guide, walking you step-by-step through setting up an end-to-end

Photo Gallery

Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi

Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies

Diffusion Policy Controlling Robots - Part 1

Diffusion Policy for PushT Robotic Manipulation

FDPP: Fine-tune Diffusion Policy with Human Preference

Why Diffusion Policy Is Changing Robot Learning

Diffusion Policy on Bimanual Robot

Diffusion Policy Based walking Controller for Bipedal Robot (Stoch-Biro) in Unseen environments.

[CVPR 2026] Explicit Recovery Behavior for Diffusion Policies (REACH)

DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Datasets

Diffusion Policy Controlling Robots - Part 2

End-to-End Robotics Learning: Train a Behaviour Cloning Policy on PushT with Hugging Face LeRobot

View Detailed Profile

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:

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

Diffusion Policy Controlling Robots - Part 1

Diffusion Policy Controlling Robots - Part 1

This is the first session with Roger leading a discussion about

Diffusion Policy for PushT Robotic Manipulation

Diffusion Policy for PushT Robotic Manipulation

In our reimplementation of "

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

Why Diffusion Policy Is Changing Robot Learning

Why Diffusion Policy Is Changing Robot Learning

In this episode of *Robraintics*, we discuss why

Diffusion Policy on Bimanual Robot

Diffusion Policy on Bimanual Robot

Diffusion Policy on Bimanual Robot

Diffusion Policy Based walking Controller for Bipedal Robot (Stoch-Biro) in Unseen environments.

Diffusion Policy Based walking Controller for Bipedal Robot (Stoch-Biro) in Unseen environments.

Refer to website for more info, https://gvsmothish.github.io/Stoch-Biro-

[CVPR 2026] Explicit Recovery Behavior for Diffusion Policies (REACH)

[CVPR 2026] Explicit Recovery Behavior for Diffusion Policies (REACH)

Are

DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Datasets

DiffusionRL: Efficient Training of Diffusion Policies for Robotic Grasping Using RL-Adapted Datasets

M. Makarova, Q. Liu, and D. Tsetserukou, “DiffusionRL: Efficient Training of

Diffusion Policy Controlling Robots - Part 2

Diffusion Policy Controlling Robots - Part 2

Roger led this the second session of a discussion on

End-to-End Robotics Learning: Train a Behaviour Cloning Policy on PushT with Hugging Face LeRobot

End-to-End Robotics Learning: Train a Behaviour Cloning Policy on PushT with Hugging Face LeRobot

This video serves as a comprehensive coding guide, walking you step-by-step through setting up an end-to-end

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