Jingsong Jason Liang

Jingsong Liang joined the National University of Singapore as a research staff member in 2024, working with Prof. Guillaume Sartoretti at the Multi-Agent Robotic Motion Laboratory and Prof. Rodney Teo at the Temasek Laboratories. Before that, he received the M.S. degree in Computer Science from the School of Computing, National University of Singapore in 2024 and the B.S. degree in Electrical Engineering from the School of Computing Science and Engineering, Northeastern University in 2022.

His research interests include autonomous intelligent systems, foundation and generative models for robot learning, and homogeneous/heterogeneous multi-robot systems.

Community Service: Reviewer or PC Member for IEEE RA-L, ICRA, IROS, ICLR, and AAAI.

Happy to chat more about relevant research and collaborations!

news

Aug 02, 2025	Two co-authored papers on (1) inpainting-aware exploration and navigation (CogniPlan) and (2) multimodal GTSP-based robotic task planning (MMFL) have been accepted by CoRL 2025! See you in Seoul, Korea!
Jan 28, 2025	My co-author paper on generative-based exploration has been accepted by ICRA 2025! See you in Atlanta, USA!
Nov 05, 2024	Our paper on hierarchical planning for autonomous navigation and exploration has been accepted by RA-L and will be presented at ICRA 2025!
Jul 01, 2024	Glad to become a research staff under the support of NUS ME and Temasek Laboratories!
Jul 01, 2024	Our paper on information sharing mechanisms for multi-robot exploration has been accepted for oral presentation by DARS 2024!
Jun 30, 2024	Our paper on multi-robot exploration and rendezvous under limited communication range has been accepted for oral presentation by IROS 2024!
Apr 22, 2024	I finished my oral defense “Hierarchical Decision Networks for Distributed Multi-Robot Exploration” for my Master’s degree! Many thanks to my advisor Prof. Guillaume Sartoretti and my examiner Prof. Harold Soh!
Aug 31, 2023	Our paper on autonomous robotic navigation in unknown environments has been accepted by CoRL 2023!

selected publications

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction

Yizhuo Wang, Haodong He, Jingsong Liang, and 3 more authors

In Conference on Robot Learning (CoRL), 2025

Bib PDF Code Website

@inproceedings{wang2025corl,
  title = {CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction},
  author = {Wang, Yizhuo and He, Haodong and Liang, Jingsong and Cao, Yuhong and Chakraborty, Ritabrata and Sartoretti, Guillaume},
  booktitle = {Conference on Robot Learning (CoRL)},
  year = {2025},
}

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning

Jiaqi Cheng, Mingfeng Fan, Xuefeng Zhang, and 4 more authors

In Conference on Robot Learning (CoRL), 2025

Bib PDF

@inproceedings{cheng2025corl,
  title = {Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning},
  author = {Cheng, Jiaqi and Fan, Mingfeng and Zhang, Xuefeng and Liang, Jingsong and Cao, Yuhong and Wu, Guohua and Sartoretti, Guillaume},
  booktitle = {Conference on Robot Learning (CoRL)},
  year = {2025},
}

DARE: Diffusion Policy for Autonomous Robot Exploration

Yuhong Cao, Jeric Lew, Jingsong Liang, and 2 more authors

In IEEE International Conference on Robotics and Automation (ICRA), 2025

Bib PDF Code

@inproceedings{cao2025dare,
  title = {DARE: Diffusion Policy for Autonomous Robot Exploration},
  author = {Cao, Yuhong and Lew, Jeric and Liang, Jingsong and Cheng, Jin and Sartoretti, Guillaume},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2025},
}

HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks

Jingsong Liang, Yuhong Cao, Yixiao Ma, and 2 more authors

In IEEE Robotics and Automation Letters (RA-L), 2025

Bib PDF Code

@inproceedings{liang2024hd,
  title = {HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks},
  author = {Liang, Jingsong and Cao, Yuhong and Ma, Yixiao and Zhao, Hanqi and Sartoretti, Guillaume},
  booktitle = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2025},
}

Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration

Yixiao Ma, Jingsong Liang, Yuhong Cao, and 2 more authors

In International Symposium on Distributed Autonomous Robotic Systems (DARS), 2024

Bib PDF Code

@inproceedings{ma2024dars,
  title = {Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration},
  author = {Ma, Yixiao and Liang, Jingsong and Cao, Yuhong and Tan, Derek and Sartoretti, Guillaume},
  booktitle = {International Symposium on Distributed Autonomous Robotic Systems (DARS)},
  year = {2024},
}

IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity

Derek Tan, Yixiao Ma, Jingsong Liang, and 3 more authors

In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Bib PDF Code Website

@inproceedings{derek2024ir2,
  title = {IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity},
  author = {Tan, Derek and Ma, Yixiao and Liang, Jingsong and Chng, YiCheng and Cao, Yuhong and Sartoretti, Guillaume},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area

Jingsong Liang, Zhichen Wang, Yuhong Cao, and 3 more authors

In Conference on Robot Learning (CoRL), 2023

Bib PDF Code

@inproceedings{liang2023context,
  title = {Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area},
  author = {Liang, Jingsong and Wang, Zhichen and Cao, Yuhong and Chiun, Jimmy and Zhang, Mengqi and Sartoretti, Guillaume},
  booktitle = {Conference on Robot Learning (CoRL)},
  year = {2023},
}