Marco Pavone

Dr. Marco Pavone is vice president of autonomous systems and physical AI research at NVIDIA and a Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory. He earned his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on physical AI, the development of AI systems grounded in physics, perception, and control that can operate robustly in the real world. His work spans a range of applications, including autonomous vehicles, aerospace systems, and general-purpose robotics. He has received numerous honors, including the Presidential Early Career Award for Scientists and Engineers from the White House.
Marco Pavone

Posts by Marco Pavone

Robotics Nov 10, 2026

Running AV Reasoning Models Within Onboard Compute and Latency Limits

Autonomous vehicle (AV) developers need reasoning models that can operate within the compute and latency constraints of an onboard system. Larger models provide... 13 MIN READ
Robotics Aug 04, 2026

Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super

Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data... 13 MIN READ
Robotics May 31, 2026

How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo

Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can... 9 MIN READ
Robotics Jan 05, 2026

Building Autonomous Vehicles That Reason with NVIDIA Alpamayo

Autonomous vehicle (AV) research is undergoing a rapid shift. The field is being reshaped by the emergence of reasoning-based vision–language–action (VLA)... 12 MIN READ
Simulation / Modeling / Design Nov 28, 2023

Simulating Realistic Traffic Behavior with a Bi-Level Imitation Learning AI Model

From last-minute cut-ins to impromptu U-turns, human drivers can be incredibly unpredictable. This unpredictability stems from the complex nature of human... 5 MIN READ