Jingfan Tang

I'm an undergraduate student at Shanghai Jiao Tong University in China, where I work in Robotics Autonomy and Planning Lab with Zhongqiang (Richard) Ren. Currently I am a visiting student at Carnegie Mellon University.

I am working on autonomous exploration for both single- and multi-robot systems. My work mainly focuses on solving the underlying routing problems, developing efficient optimal and bounded suboptimal solvers, and building robust robotic systems.

I am actively seeking a Ph.D position in robotics, computer science, or related fields starting in Fall 2027.

Email  /  Scholar  /  Github  /  CV

News

[Apr 2026] We are organizing CMU-VLN-Challenge. Please check our website.

[Jan 2026] Start my exchange at Carnegie Mellon University.

[Sep 2025] Our paper HEHA is accepted to IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS 2025) as a poster paper.

Research

My research interests lie at the intersection of algorithmic robotics and machine intelligence. I am dedicated to designing efficient search and optimization-based algorithms, aiming to bridge the gap between classical methods and modern learning-based approaches to achieve provably safe and intelligent robot autonomy.

Introducing the Routing Problem with Probabilistic Vertices (RPV) to model map prediction uncertainty, with efficient optimal and bounded suboptimal solvers.
Proposing APEX, a lifelong exploration framework coupling uncertainty-aware map prediction with probabilistic planning.

Considering the path planning problem for autonomous exploration of an unknown environment using multiple heterogeneous robots and solving with search-based method.

Miscellanea

Thanks to Jon Barron for the website template.