WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning
Jingtian Yan, Stephen F. Smith, and Jiaoyang Li. IEEE Transactions on Automation Science and Engineering. 23, 9162-9175, 2026.
Will present at IROS 2026.
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
Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
Jingtian Yan, Zhifei Li, William Kang, Kevin Zheng, Yulun Zhang, Zhe Chen, Yue Zhang, Daniel Harabor, Stephen F. Smith, and Jiaoyang Li. IEEE Robotics and Automation Letters. 11(6), 7428-7435, 2026.
ICAPS 2025 Best Demo Award; will present at IROS 2026.Analyzing Planner Design Trade-offs for MAPF under Realistic Simulation
Jingtian Yan, Zhifei Li, William Kang, Stephen F. Smith, and Jiaoyang Li. International Conference on Automated Planning and Scheduling. 2026.
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.