Adam Wei

@adamwei_

Intern @physical_int 🏖️, Robotics PhD student @MIT_CSAIL with Prof. @RussTedrake

Joined April 2025

288

Pinned
Adam Wei
@adamwei_
Jun 18
🤖 We introduce Ambient Diffusion Policy, a simple and principled method for training policies with suboptimal data in robotics. Suboptimal data is everywhere in robotics… ❌ Data filtering is wasteful ❌ Co-training learns both good and bad features ✅ Ambient Diffusion Policy
00:00
Adam Wei
@adamwei_
Jul 24
Ambient Diffusion Policy won 2/2 Best Paper Awards at #RSS2026 workshops! 🏆🏆 • Best Paper — Data-Centric Robotics • Most Useful Practical Information — It’s the Demos I'm super excited to see how the community builds on this work. Huge thanks to the organizers for having
00:41
Adam Wei
@adamwei_
Jun 18
🤖 We introduce Ambient Diffusion Policy, a simple and principled method for training policies with suboptimal data in robotics. Suboptimal data is everywhere in robotics… ❌ Data filtering is wasteful ❌ Co-training learns both good and bad features ✅ Ambient Diffusion Policy
Adam Wei
@adamwei_
Jul 22
Checkout this detailed investigation into context length and a new variable history curriculum training method!
Abhinav Agarwal
@_abhinav_ag
Jul 22
Roboticists have been working hard to add memory to “goldfish” imitation learning policies. But do we understand how context length impacts state-of-the-art imitation learning methods? We provide an in-depth analysis of long-context Diffusion Policies to study this 🧵(1/7)
Adam Wei
@adamwei_
Jul 15
Congrats to @RussTedrake and the folks at @WaldenRobotics ‼️‼️ this is so exciting
Russ Tedrake
@RussTedrake
Jul 15
In January, I started "building something new" with an incredible team. Today I finally get to share some first details about what we've been building. We've called it Walden Robotics (waldenrobotics.com). I thought long and hard about my own reasons for starting this
Adam Wei
@adamwei_
Jul 12
I will be presenting Ambient Diffusion Policy at two workshop spotlight talks this week! #RSS2026 • Monday: It's the Demos, talk at 8:50 AM, poster 9:30–10:30 AM. • Friday: Data-Centric Robotics, talk at 11:35 AM, poster 10:05–10:35 AM. Sadly, I will be remote, but
Adam Wei
@adamwei_
Jun 18
🤖 We introduce Ambient Diffusion Policy, a simple and principled method for training policies with suboptimal data in robotics. Suboptimal data is everywhere in robotics… ❌ Data filtering is wasteful ❌ Co-training learns both good and bad features ✅ Ambient Diffusion Policy
00:00