Yulun Tian
Assistant Professor at University of Michigan Robotics Department
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolYulun Tian is an Assistant Professor in the Robotics Department at the University of Michigan and director of the Scalable Spatial Intelligence Lab, with a decade of experience building trustworthy, long-duration autonomy. His research blends nonlinear and distributed optimization, machine learning, and graph theory to deliver principled algorithms with theoretical guarantees for spatial perception, navigation, and multi-agent systems. Prior roles include postdoctoral work and graduate research at MIT and UC San Diego, where he focused on SLAM, perception, and multi-robot coordination, and a research internship at Facebook Reality Labs on large-scale structure-from-motion. He has a strong systems background from early engineering roles and high academic achievement from UC Berkeley and MIT, enabling both theoretical depth and real-world deployments. Notably, his work emphasizes scalability and robustness over long horizons—designing algorithms that maintain performance without human intervention. Based in Ann Arbor, he actively translates rigorous theory into practical robotic systems and fielded experiments.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, 3.94/4.00 (High Distinction), Bachelor of Arts - BA, Computer Science, 3.94/4.00 (High Distinction) at University of California, BerkeleyDoctor of Philosophy - PhD, Aeronautics and Astronautics: Autonomous Systems, Doctor of Philosophy - PhD, Aeronautics and Astronautics: Autonomous Systems at Massachusetts Institute of Technology
English, Chinese
Github Skills (14)
slam10
constraint-programming9
pose9
optimization9
g2o9
cpp9
robotics9
graph-algorithms8
graph8
ros8
manifold2
machine-learning2
hierarchical1
bag1
Programming languages (2)
Github contributions (5)
MIT-SPARK/Kimera-Multi
Apr 2023 - Aug 2024
Contributions:3 PRs, 2 pushes, 3 branches in 1 year 4 months
yuluntian/g2o
Mar 2021 - Dec 2022
g2o: A General Framework for Graph Optimization
Contributions:2 PRs, 6 pushes, 1 branch in 1 year 9 months
optimizationgraph-optimizationg2ographgraph-algorithms
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