Nolan Fey

Excited to share my recent work with @gabe_mrgl , Martin Pettico, and @pulkitology . We’re pushing the limits of whole-body control to make robots faster, stronger, and more athletic!

What’s keeping robot arms from working like human arms? They're big, slow, have the wrong joints, and can't conform to their environment. DexWrist solves all of these issues and simplifies learning constrained, dynamic manipulation👉 dexwrist.csail.mit.edu

Presenting Unsupervised Actuator Nets (UANs) that push the limits of agile whole-body control without the need for reward shaping! ⚡️ UANs reduce the sim2real gap in robot's motors removing the need for reward design to bridge the sim2real gap. ⚡️ A pre-trained whole-body…

Presenting our #ICML2024 Position paper: “Automatic Environment Shaping is the Next Frontier in RL”. We argue that more reliable and principled techniques for RL environment shaping will pave the path towards generalist robots 🧵 [1/n] @gabe_mrgl Oral talk happening today…

Catch @nolan_fey's oral/poster at today's ICLR Robot Learning Workshop! robot-learning.ml/2025/ The paper will also appear at RSS.

The next frontier for AI shouldn’t just be generally helpful. It should be helpful for you! Our new paper shows how to personalize LLMs — efficiently, scalably, and without retraining. Meet PReF (arxiv.org/abs/2503.06358) 1\n

You aren't doing robotics if you are not breaking some robots! uan.csail.mit.edu