Publications

2026

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    ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
    Shizhe Zhang*, Jingsong Liang*, Zhitao Zhou, and 6 more authors
    In Submission, 2026
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    GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
    Haozhan Ni, Jingsong Liang, Chenyu He, and 2 more authors
    IEEE International Conference on Robotics and Automation (ICRA), 2026
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    FARE: Fast-Slow Agentic Robotic Exploration
    Shuhao Liao, Xuxin Lv, Jeric Lew, and 6 more authors
    In Submission, 2026

2025

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    HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
    Yuhong Cao, Yizhuo Wang, Jingsong Liang, and 4 more authors
    In Submission, 2025
    Best Paper Award, Active Perception Workshop, IROS 2025
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    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
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    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
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    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
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    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

2024

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    Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
    Yixiao Ma, Jingsong Liang, Yuhong Cao, and 2 more authors
    International Symposium on Distributed Autonomous Robotic Systems (DARS), 2024
    Oral Presentation
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    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

2023

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    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