Lixuan Zhang is the Ph.D. student in Visual Information Processing and Learning (VIPL) group from the Institute of Computing Technology, Chinese Academy of Sciences, under the supervision of Prof. Xilin Chen. He also has a close collaboration with Prof. Meina Kan. His research interest mainly focuses on world model, visual navigation and its application for blind and visually impaired person. Before that, He obtained his B.Eng degree in Automation from Xi’an Jiaotong University in 2021.
🔥 News
- 2026/01/20: 🎉🎉 Our co-authored paper “Collaborative Map-Based and Route-Based Policy Learning for Continuous Vision-and-Language Navigation” was accepted by RA-L.
- 2025/11/08: 🎉🎉 Our co-authored paper “Walking World Model for Visually Impaired Path Following” was accepted by RA-L.
- 2025/09/23: 🎉🎉 The team I worked with has won the 1st Place in the World Model Track of the IROS 2025 World Challenge.
- 2024/12/28: 🎉🎉 Our paper “eLabrador: A Wearable Navigation System for Visually Impaired Individuals” was accepted by T-ASE.
- 2024/07/04: 🎉🎉 Our paper “PreLAR: World Model Pre-training with Learnable Action Representation” got accepted at ECCV 2024.
- 2023/09/15: 🎉🎉 Our paper “Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence” was accepted by T-ASE.
📝 Publications
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Jiewen Hou, Meina Kan, Lixuan Zhang, Hao Liang, Shiguang Shan, Xilin Chen. Collaborative Map-Based and Route-Based Policy Learning for Continuous Vision-and-Language Navigation. IEEE Robotics and Automation Letters, 2026, Vol. 11, No. 4, pp. 4345–4352.
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Haokun Ju, Lixuan Zhang, Xiangyu Cao, Meina Kan, Shiguang Shan, Xilin Chen. Walking World Model for Visually Impaired Path Following. IEEE Robotics and Automation Letters, 2026, Vol. 11, No. 2, pp. 2042–2049.
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Meina Kan, Lixuan Zhang, Hao Liang, Boyuan Zhang, Minxue Fang, Dongyang Liu, Shiguang Shan, Xilin Chen. eLabrador: A Wearable Navigation System for Visually Impaired Individuals. IEEE Transactions on Automation Science and Engineering (T-ASE), 2025, Vol. 22, pp. 12228–12244.
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Lixuan Zhang, Meina Kan, Shiguang Shan, Xilin Chen. PreLAR: World Model Pre-training with Learnable Action Representation. European Conference on Computer Vision (ECCV), 2024.
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Lixuan Zhang, Jianzhuang Zhao, Edoardo Lamon, Yabin Wang, Xiaopeng Hong. Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence. IEEE Transactions on Automation Science and Engineering (T-ASE), 2025, Vol. 22, pp. 18162–18173.
🎖 Honors and Awards
- 2025.10 1st Place in IROS 2025 World Challenge - World Model Track.
- 2019.05 1st Prize in ICRA 2019 RoboMaster AI Challenge.
📖 Educations
- 2021.09 - (now), Ph.D. student, Institute of Computing Technology, CAS, Beijing, China
- 2017.09 - 2021.07, Undergraduate, Xi’an Jiaotong University, Xi’an, China.