Nicolas Gorlo

I am a PhD student at the MIT Spark Lab, working on Spatial Perception and Cognition for Robotics. I am very fortunate to be advised by Prof. Luca Carlone.

I worked with Amazon Fauna Robotics on robotic world models as a Research Scientist II intern in summer 2026.

Before MIT, I was a Product Exploration Intern at Apple Vision Products Group.

Prior to Apple, I was a Masters Student in Robotics, Systems and Control at ETH Zurich. I wrote my Masters Thesis on Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs as a Visiting Student Researcher at the MIT Spark Lab. At ETH Zurich, I further worked on several Research Projects at the Autonomous Systems Lab under the supervision of Roland Siegwart.

News and Updates

• September 2026: Our work on FOUND-IT: Foundation-model-first Task-driven 3D Scene Graphs with Granularity on Demand has been accepted at IEEE Robotics and Automation Letters (RA-L) 2026!
• June 2026: Our work on Describe Anything, Anywhere, at Any Moment has been featured on MIT News and Forbes.
• May 2026: We have released our preprint on FOUND-IT: Foundation-model-first Task-driven 3D Scene Graphs with Granularity on Demand on arXiv.
• February 2026: Our paper, Describe Anything, Anywhere, at Any Moment has been accepted at CVPR 2026. See you in Denver!

Blog

Read my blog for research updates and (upcoming) blog posts.