New paper: The Platonic Representation Hypothesis In which we posit that _different_ foundation models are converging to the _same_ representation of reality. paper: arxiv.org/abs/2405.07987 website: phillipi.github.io/prh/ code: github.com/minyoungg/plat… 1/8

Check out our workshop tomorrow at #RSS24! Hope you are enjoying Delft as we are!

#RSS2024 GenAI-HRI Workshop (Room ME B - Newton): Andrea Bajcsy talking about Human-AI Safety. Check out their paper arxiv.org/abs/2405.09794

Announcing Versatile Demonstration Interface (VDI) – a tool for collaborative robots that makes it easier to collect task demonstrations using three common Learning from Demonstration approaches.

Excited to present our #NeurIPS2024 Oral talk! 🚀 Enhancing Preference-based Linear Bandits via Human Response Time Coffee or tea? If you choose instantly, you likely have a strong preference. How can AI leverage this psychological insight to better learn human preferences?

The ChatGPT of robotics needs both a model (GPT) AND an interaction method (“chat”) to let users steer robot policies online, post-training. The multimodality in diffusion models is great for capturing diverse behaviors, but users need control at inference time! Felix Wang &

.MIT CSAIL PhD candidate Felix Yanwei Wang is in the final year of his program working with the lab’s Interactive Robotics Group, researching robot learning, specifically inference-time policy alignment through human interactions. Read more about Felix: bit.ly/445dEtA

We've been heads-down building.  The robots have gotten pretty good.  We'll be sharing a brief update soon.

Excited to be out of stealth! Since graduating from MIT, I’ve been building something incredibly FUN. Every day at work is full of laughter and “wows.” Super proud of the fantastic team making it all happen. Let’s go 🚀

Interested in how generative AI can be used for human-robot interaction? We’re organizing the 2nd Workshop on Generative AI for Human-Robot Interaction (GenAI-HRI) at #RSS2025 in LA — bringing together the world's leading experts in the field. The workshop is happening on Wed,

We see sparks of physical AGI

Visual prompting in action

Super excited to finally share our work on “Self-Improving Embodied Foundation Models”!! (Also accepted at NeurIPS 2025) • Online on-robot Self-Improvement • Self-predicted rewards and success detection • Orders of magnitude sample-efficiency gains compared to SFT alone •