Grace X. Gao
Also known as Grace Gao, Grace Xingxin Gao
Grace Gao is a Stanford associate professor who studies navigation for autonomous vehicles and co-directs the Stanford Center for AI Safety. She earned engineering degrees at Tsinghua and Stanford, decoded Galileo and Compass satellite signals, and joined Illinois’s aerospace engineering faculty in 2012. Her 2018 NSF CAREER project studied how autonomous vehicles could measure confidence in their GPS positions. In 2024, she coauthored Neural Elevation Models for Terrain Mapping and Path Planning, which introduced terrain models learned from images to help plan routes. She and her students won NASA’s Lunar Autonomy Challenge in 2025.
- Now at
- Stanford University
- Works
- 289
- Citations
- 2,551
- h-index
- 25
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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2001–2003
Engineering degrees at Tsinghua
She earns a bachelor’s degree in mechanical engineering in 2001 and a master’s degree in electrical engineering in 2003 at Tsinghua University.
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2006–2007
Decoding Galileo and Compass signals
In 2006, Gao derives the algorithms that generate the codes broadcast by Galileo’s GIOVE-A satellite. In 2007, she decodes the civil signals from the Compass-M1 satellite and uses the codes in a software receiver to acquire and track it.
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2008
A Stanford doctorate
She completes a PhD in electrical engineering at Stanford University in 2008. The Institute of Navigation gives her its 2008 Early Achievement Award for work on Galileo and Compass satellite signals.
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October 2012
Joining Illinois aerospace engineering
After work as a research associate in Stanford’s Department of Aeronautics and Astronautics, she joins the aerospace engineering faculty at the University of Illinois at Urbana-Champaign in October 2012.
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2018
A CAREER award for navigation
In 2018, she receives a National Science Foundation CAREER award to study the reliability of GPS navigation for autonomous vehicles. The project combines GPS, camera vision and other sensors to assess confidence in position estimates.
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By 2020
Autonomous navigation at Stanford
By September 2020, she is an assistant professor in Stanford’s Department of Aeronautics and Astronautics. Her work improves navigation for autonomous robots, including self-driving cars and drones.
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May 2024
Neural elevation models
With Adam Dai and Shubh Gupta, Gao coauthors Neural Elevation Models for Terrain Mapping and Path Planning in May 2024. The work adapts neural radiance fields to learn terrain models from images and uses the models to plan routes that account for distance, slope changes and control effort.
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2025
Winning the Lunar Autonomy Challenge
She and her students win first place in NASA’s Lunar Autonomy Challenge in 2025. Their navigation and mapping system uses learned perception models for image segmentation and feature tracking, with planning and control for a simulated lunar environment.
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As of October 2026
Professor and AI safety co-director
As of October 2026, she is an associate professor in Stanford’s Department of Aeronautics and Astronautics, with a courtesy appointment in Electrical Engineering. She directs the Navigation and Autonomous Vehicles Laboratory and co-directs the Stanford Center for AI Safety.
Career
- NowStanford UniversityAssociate professor
- NowStanford UniversityCourtesy appointment
- NowStanford UniversityDirector of Navigation and Autonomous Vehicles Laboratory
- NowStanford UniversityCo-director of Stanford Center for AI Safety
- NowStanford UniversityCo-lead, Robotics and Autonomous Systems Area, Stanford SystemX Alliance
- From 2012University of Illinois Urbana-ChampaignAssistant professor of aerospace engineering
- Stanford UniversityResearch associate
- Stanford UniversityAssistant professor
Education
- 2008Stanford UniversityPhD in electrical engineering
- 2003Tsinghua UniversityMaster's degree in electrical engineering
- 2001Tsinghua UniversityBachelor's degree in mechanical engineering
Sources and credits
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- Gao wins Everitt Award for Teaching Excellence | Electrical & Computer Engineering | Illinois
- 2008 Early Achievement Award - Dr. Grace Xingxin Gao
- Grace Gao | TCIPG: Trustworthy Cyber Infrastructure for the Power Grid
- Gao wins AIAA Illinois Teacher of the Year award | Electrical & Computer Engineering | Illinois
- Grace Gao receives NSF CAREER award for UAV research | Aerospace Engineering | Illinois
- Spotlight: Grace Gao | Stanford University School of Engineering
- [2405.15227] Neural Elevation Models for Terrain Mapping and Path Planning
- Grace Gao's Profile | Stanford Profiles
- [2603.17232] Full Stack Navigation, Mapping, and Planning for the Lunar Autonomy Challenge
- Prof. Grace Gao | Navigation and Autonomous Vehicles (NAV) Lab
- People - Stanford AI Safety


