Ph.D. candidate at MIT AeroAstro
yulun [at] mit [dot] edu
Hi There! I'm Yulun.
I am a Ph.D. candidate in the Department of Aeronautics and Astronautics at MIT, advised by Professor Jonathan How. I am passionate about developing provably correct algorithms and real-world systems to enable future multi-agent perception and navigation. Beyond that, I am also broadly interested in robot autonomy and machine learning.
For a complete list of my publications, please visit my Google Scholar page.
Fall 2017 - Present
Aerospace Controls Lab, MIT
I currently work as a research assistant at MIT's Aerospace Controls Lab (ACL). My research focuses on developing new algorithms, theoretical guarantees, and real-world systems for collaborative simultaneous localization and mapping (SLAM).
June 2020 - Aug 2020
Reality Labs, Meta
I interned at Facebook Reality Labs during the summer of 2020. My research project investigates robust translation averaging methods for large-scale structure-from-motion (SfM) applications.
I served as an undergraduate student instructor for EE 122 - Communication Networks. My main duties include holding regular office hours, designing exam questions, and helping with class logistics.
Spring 2016 - Spring 2017
I worked as an undergraduate research assistant with Ming Jin and Professor Costas Spanos. Our projects aim to use agile robots to accomplish tasks in the emerging field of smart buildings.
Software Engineering Intern
I joined Oracle's Solaris Platform QE group as a software engineering intern.
Distributed Pose Graph Optimization
Distributed Certifiably Correct Pose-Graph Optimization
[Paper] [Video Presentation][Code]
Y. Tian, K. Khosoussi, D.M. Rosen, J.P. How
IEEE Transactions on Robotics (T-RO), 2021
2021 Honorable Mention for the King-Sun Fu Memorial Best Paper Award
Asynchronous and Parallel Distributed Pose Graph Optimization [Paper]
Y. Tian, A. Koppel, A.S. Bedi, J.P. How
IEEE Robotics and Automation Letters (RA-L), 2020
2020 Honorable Mention for the IEEE RA-L Best Paper Award
Distributed Metric-Semantic SLAM
Forest Search and Rescue using multiple UAVs
Resource-Aware Collaborative SLAM
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection [Paper]
Y. Tian, K. Khosoussi, M. Giamou, J.P. How, J. Kelly
Robotics: Science and Systems (RSS) 2018
Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees [Paper]
Y. Tian, K.Khosoussi, J.P. How
Int. Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018
Invited to special issue of IJRR
Robot Operating System (ROS)
Google Web Toolkit (GWT)
Aeronautics & Astronautics, MIT
Courses: Nonlinear Optimization, Optimization Algorithms for Machine Learning, Advances in Computer Vision, Semidefinite Optimization
Aeronautics & Astronautics, MIT
Courses: Principles of Autonomy and Decision Making, Optimal Control and Estimation, Machine Learning, Algorithms for Inference, Real Analysis
B.A. High Distinction
Computer Science, UC Berkeley
Courses: Machine Learning, Artificial Intelligence, Algorithms, Optimization Models, Systems and Signals, Operating Systems, Communication Networks, Databases, Computer Security