Graduate student at MIT AeroAstro
yulun [at] mit [dot] edu
Hi There! I'm Yulun.
I am a graduate student in the Department of Aeronautics and Astronautics at MIT, advised by Professor Jonathan How. Previously I was an undergraduate student studying Computer Science at UC Berkeley. My interests lie broadly in robot autonomy and machine learning.
[06/24/2020] Our new paper, "Asynchronous and Parallel Distributed Pose Graph Optimization", has been accepted in Robotics and Automation Letters (RA-L)!
[05/26/2020] I'm excited to begin working as a research intern at Facebook Reality Lab this summer!
Fall 2017 - Present
Aerospace Controls Lab, MIT
I currently work as research assistant at MIT's Aerospace Controls Lab (ACL). My research focuses on collaborative simultaneous localization and mapping (CSLAM) and multi-agent exploration.
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
Software Engineering Intern
I joined Oracle's Solaris Platform QE group as a software engineering intern. I worked on projects related to test automation, for which I implemented a template-based test suite integration process. I also laid the groundwork for an extensible smart failure analysis tool.
Forest Search and Rescue using multiple UAS
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: 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