Imitation learning frameworks are often with 2D inputs. but 2D limits generalization even to camera poses. This has been an ongoing challenge, especially for humanoids since the camera pose is not steady and need not match the training data. Albert Wilcox has been working on

Anyone knows adam?

Humanoid taking a quadruped for a walk was exactly what I needed to see today

July has been a big month for Viser! - Released v1.0.0😊 - We did some writing Some demos👇

🤖✨ What if models that take action in the physical world could think through your instructions? Meet MolmoAct, our new fully open Action Reasoning Model (ARM) that does just that. 🧵

Most imitation learning policies break when the camera moves or the robot changes. NOT THIS ONE 👇 [📍 Bookmark for later ] A new 3D scene representation encoder, tackles this by enabling zero-shot generalization to unseen embodiments and viewpoints… And it works with any IL

Introducing Importance Weighted Retrieval, a simple modification to existing retrieval methods! Our importance sampling inspired approach helps us more effectively retrieve from prior datasets for few shot imitation learning! #CoRL2025 Oral w/ Rahul Chand Dorsa Sadigh Joey Hejna

Can we scale up mobile manipulation with egocentric human data? Meet EMMA: Egocentric Mobile MAnipulation EMMA learns from human mobile manipulation + static robot data — no mobile teleop needed! EMMA generalizes to new scenes and scales strongly with added human data. 1/9

Robots struggle to learn new skills from human videos. Why? We found that naive co-training produces disjoint distributions. Our EgoBridge (NeurIPS’25) extends Optimal Transport to align human-robot latents, improving success by 44% and generalization to human-only tasks!🧵

Heading to Seoul to present this work at CoRL 2025! Looking forward to lots of fun discussions this weekend. If you want to chat sometime please send a DM!

My biggest disappointment from #CoRL2025 is that we never got a demo of a humanoid doing the Gangnam style dance

Someone should make a sci-fi movie where a hyperintelligent AI tries to take over the world but humans manage to stop it since its robotic henchmen can't complete basic dexterous tasks like reliably plugging in cables

Robots has a data problem, in that robotics data is rare. While human video is quite common, it’s not usually directly usable for robots for a variety of reasons, most significantly that it’s missing explicit, accurate robot actions. Instead, Jeremy Collins proposes that we