Publications

You can also find my articles on my Google Scholar profile.

2026

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.
IEEE Xplore | Video | BibTeX

@article{yan2026winktpg,
  title={WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning},
  author={Yan, Jingtian and Smith, Stephen F. and Li, Jiaoyang},
  journal={IEEE Transactions on Automation Science and Engineering},
  volume={23},
  pages={9162--9175},
  year={2026},
  doi={10.1109/TASE.2026.3688563}
}

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.
IEEE Xplore | Code | Video | BibTeX

@article{yan2026smart,
  title={Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)},
  author={Yan, Jingtian and Li, Zhifei and Kang, William and Zheng, Kevin and Zhang, Yulun and Chen, Zhe and Zhang, Yue and Harabor, Daniel and Smith, Stephen F. and Li, Jiaoyang},
  journal={IEEE Robotics and Automation Letters},
  volume={11},
  number={6},
  pages={7428--7435},
  year={2026},
  month={June},
  doi={10.1109/LRA.2026.3688062}
}

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.
arXiv | BibTeX

@inproceedings{yan2026tradeoffs,
  title={Analyzing Planner Design Trade-offs for MAPF under Realistic Simulation},
  author={Yan, Jingtian and Li, Zhifei and Kang, William and Smith, Stephen F. and Li, Jiaoyang},
  booktitle={International Conference on Automated Planning and Scheduling},
  year={2026}
}

2025

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

Jingtian Yan and Jiaoyang Li. AAAI Conference on Artificial Intelligence. 2025
arXiv | Code | BibTeX

@inproceedings{yan2025mass,
  title={Multi-agent Motion Planning for Differential Drive Robots Through Stationary State Search},
  author={Yan, Jingtian and Li, Jiaoyang},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={2025}
}

2024

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.
arXiv | Code | BibTeX

@article{yan2024psb,
  title={Multi-Agent Motion Planning With B{\'e}zier Curve Optimization Under Kinodynamic Constraints},
  author={Yan, Jingtian and Li, Jiaoyang},
  journal={IEEE Robotics and Automation Letters},
  volume={9},
  number={4},
  pages={3726--3733},
  year={2024},
  publisher={IEEE},
  doi={10.1109/LRA.2024.3363543}
}

2023

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.
arXiv | Video | BibTeX

@article{yan2023muitare,
  title={MUI-TARE: Cooperative Multi-Agent Exploration With Unknown Initial Position},
  author={Yan, Jingtian and Lin, Xingqiao and Ren, Zhongqiang and Zhao, Shiqi and Yu, Jieqiong and Cao, Chao and Yin, Peng and Zhang, Ji and Scherer, Sebastian},
  journal={IEEE Robotics and Automation Letters},
  volume={8},
  number={7},
  pages={4299--4306},
  year={2023},
  publisher={IEEE},
  doi={10.1109/LRA.2023.3281262}
}