Towards Physical AI

Documenting my research progress as it happens

I’m moving my research updates to this Substack to prioritize depth over the constraints of short-form social media.

My work focuses on Physical AI: developing systems that can perceive, reason about, and interact directly with the real world. For the past seven years, I’ve researched autonomous vehicles, pushing the boundaries of end-to-end driving systems.

In 2019, these systems could just barely avoid collisions in simplistic environments.

Fast-forward to today, and this approach has become mainstream in both academia and industrial deployments. Here is our most recent end-to-end system driving in a dark environment with high levels of occlusion as well as narrow and curved streets: several obstacles force the policy to stop, wait for safe gaps, and move into the oncoming lane to navigate safely through the scene.

I’ll be back shortly with a deeper recap connecting together my recent papers from the last three months, ranging from new frontiers in autonomous driving to my first work on humanoid robot control. Rather than posting on a set schedule, I’ll share larger updates only as I make meaningful research progress.