CV

Education

• Ph.D. in Robotics, Carnegie Mellon University, 2024-Present
  • Advisors: Prof. Jiaoyang Li and Prof. Stephen Smith
  • Focus: Multi-robot coordination, autonomous exploration, and multi-agent motion planning
• M.S. in Electrical and Computer Engineering, Carnegie Mellon University, 2021-2023
  • Focus: Multi-agent systems and autonomous exploration
• B.S. in Automation, Zhejiang University, 2017-2021
  • Focus: Control systems and robotics

Research Experience

• 2024-Present: Ph.D. Research Assistant
  • Carnegie Mellon University, Robotics Institute
  • Research on multi-agent motion planning and coordination
  • Supervisors: Prof. Jiaoyang Li and Prof. Stephen Smith
• 2021-2023: Graduate Research Assistant
  • Carnegie Mellon University, Robotics Institute
  • Research on cooperative multi-agent exploration with unknown initial positions

Research Interests

• Multi-Agent Motion Planning
• Multi-Robot Coordination
• Autonomous Exploration
• Path Planning and Navigation
• Robotics and AI

Skills

• Programming Languages: Python, C++, MATLAB, ROS
• Robotics Frameworks: ROS, Gazebo, NVIDIA Isaac Sim
• Machine Learning: PyTorch, TensorFlow
• Optimization: Motion planning, trajectory optimization
• Research: Algorithm design, experimental validation, technical writing

Publications

WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning

Jingtian Yan, Stephen F. Smith, and Jiaoyang Li. Under Review. 2025.

Advancing MAPF towards the Real World: A Scalable Multi-Agent Realistic Testbed

Jingtian Yan, Zhifei Li, William Kang, Kevin Zheng, Yulun Zhang, Zhe Chen, Yue Zhang, Daniel Harabor, Stephen F. Smith, and Jiaoyang Li. Under Review. 2025.

Multi-agent Motion Planning for Differential Drive Robots Through Stationary State Search

Jingtian Yan and Jiaoyang Li. AAAI Conference on Artificial Intelligence. 2025

Multi-Agent Motion Planning with Bézier Curve Optimization under Kinodynamic Constraints

Jingtian Yan and Jiaoyang Li. IEEE Robotics and Automation Letters. 9(3), 3021-3028, 2024.

MUI-TARE: Cooperative Multi-Agent Exploration With Unknown Initial Position

Jingtian Yan, Xingqiao Lin, Zhongqiang Ren, Shiqi Zhao, Jieqiong Yu, Chao Cao, Peng Yin, Ji Zhang, and Sebastian Scherer. IEEE Robotics and Automation Letters. 8(7), 4299-4306, 2023.

Talks

Teaching

Service and leadership

• Reviewer for AAAI, IROS, ICRA, and RA-L.