Jingsong Jason Liang

Ph.D. Student at Nanyang Technological University

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Jingsong Liang is a first-year PhD student in Robotics and AI at Nanyang Technological University, supervised by Prof. Chen Lv, Prof. Wanhua Li, and Prof. Yoonchang Sung. He is a recipient of the IGP Artificial Intelligence-X Scholarship.

He received his M.S. degree in Computer Science from the School of Computing, National University of Singapore, where he worked as a Research Associate with Prof. Guillaume Sartoretti and Prof. Rodney Teo. He received his B.S. degree in Electrical Engineering from Northeastern University.

His research interests include multimodal and embodied foundation models, deep reinforcement learning, and multi-agent systems.

news

May 22, 2026 Invited poster at Singapore Robotics and Intelligent Systems Symposium 2026; Happy to receive the Best Poster Award! 🏆
May 05, 2026 Our paper on cooperative multi-agent navigation (ORION) has been accepted by RA-L!
Jan 31, 2026 Our paper on graph-based kinodynamic exploration (GRATE) has been accepted by ICRA 2026!
Dec 05, 2025 Happy to serve as invited speaker at Singapore Robotics Research Showcase, IEEE MRS 2025!
Nov 06, 2025 Happy to start my PhD journey at NTU and Glad to receive the prestigious IGP-AI-X Research Award! 🎉
Oct 20, 2025 Our paper received the best paper award at Active Perception Workshop, IROS 2025 ! 🏆
Oct 06, 2025 Happy to serve as reviewer for IROS 2025, AAAI 2026, ICLR 2026, and ICRA 2026.
Aug 02, 2025 Two papers on (1) inpainting-aware exploration and navigation (CogniPlan) and (2) multimodal GTSP have been accepted by CoRL 2025! See you in Seoul, Korea!
Jan 28, 2025 Our paper on generative-based exploration (DARE) has been accepted by ICRA 2025! See you in Atlanta, USA!
Nov 05, 2024 Our paper on hierarchical planning for navigation and exploration (HDPlanner) has been accepted by RA-L!
Oct 03, 2024 Happy to serve as reviewer for IROS 2024, ICLR 2025, and ICRA 2025.
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 (IR2) has been accepted for oral presentation by IROS 2024!
Apr 22, 2024 Successful oral defense of “Hierarchical Decision Networks for Distributed Multi-Robot Exploration” for my Master’s degree! Thanks to Prof. Guillaume Sartoretti and Prof. Harold Soh! 🎉
Aug 31, 2023 Our paper on deep reinforcement learning-based navigation in unknown environments has been accepted by CoRL 2023! See you in Atlanta, USA!

selected publications

  1. orion_ros.gif
    ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
    Shizhe Zhang*, Jingsong Liang*, Zhitao Zhou, and 6 more authors
    IEEE Robotics and Automation Letters (RA-L), 2026
  2. cogniplan_preview.webp
    CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction
    Yizhuo Wang, Haodong He, Jingsong Liang, and 3 more authors
    Conference on Robot Learning (CoRL), 2025
  3. mmfl.webp
    Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
    Jiaqi Cheng, Mingfeng Fan, Xuefeng Zhang, and 4 more authors
    Conference on Robot Learning (CoRL), 2025
  4. dare.webp
    DARE: Diffusion Policy for Autonomous Robot Exploration
    Yuhong Cao, Jeric Lew, Jingsong Liang, and 2 more authors
    IEEE International Conference on Robotics and Automation (ICRA), 2025
  5. hdplanner.webp
    HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
    Jingsong Liang, Yuhong Cao, Yixiao Ma, and 2 more authors
    IEEE Robotics and Automation Letters (RA-L), 2025
  6. ir2.gif
    IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
    Derek Tan, Yixiao Ma, Jingsong Liang, and 3 more authors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    Oral Presentation
  7. corl23.png
    Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area
    Jingsong Liang, Zhichen Wang, Yuhong Cao, and 3 more authors
    Conference on Robot Learning (CoRL), 2023