Postdoctoral fellow in AI Chip Center

HongKong University of Science and Technology

Biography

I am Zikang Yuan (袁子康), a postdoctoral fellow in AI Chip Center for Emerging Smart Systems (ACCESS), HongKong University of Science and Technology (HKUST). I am dedicated to research in soft robotics. Currently, I am focusing on two key subfields: multi-sensor fusion SLAM and autonomous exploration for mobile robots.

I have a proven track record of producing high-quality research that is the first author of 12 papers in top-tier robotics and AI field, including 2×RA-L, 1×TPAMI journal, 3×IROS, 2×ICRA conference paper. My first-author work, SR-LIO, won championship in the 2023 National SLAM Challenge. I actively contribute to open-source communities, with 2,000+ GitHub stars and 500+ followers.

I am currently seeking motivated graduate students interested in SLAM and autonomous exploration to join my research team.

News

Jan 31, 2026 Paper accepted at ICRA 2026: GRU-Based Kalman Filtering for 3D Multi-Object Tracking

Nov 30, 2025 Awarded the Nomination Prize of the CSIG Outstanding Doctoral Dissertation

Jun 30, 2025 The first-author work SR-LIO has been deployed by Hangzhou Qisheng Intelligent Technology Co., Ltd.

Jun 21, 2025 Invited as an expert to deliver a technical presentation at the Mobile Measurement Technology Conference (MMT 2025).

Jun 15, 2025 Paper accepted at IROS 2025: LiDAR-Inertial Odometry in Dynamic Driving Scenarios using Label Consistency Detection

Apr 30, 2025 Paper accepted at RA-L 2025: Voxel-SVIO: Stereo Visual-Inertial Odometry based on Voxel Map

Jan 28, 2025 Paper accepted at ICRA 2025: Semi-Elastic LiDAR-Inertial Odometry

Oct 14, 2024 Joined AI Chip Center for Emerging Smart Systems (ACCESS), HongKong University of Science and Technology (HKUST)

Jun 30, 2024 Earned my Ph.D. from the School of Artificial Intelligence and Automation at Huazhong University of Science and Technology (HUST)

Contact

E-mail: zikangyuan@ust.hk

Phone: +86 15335899491

Github: https://github.com/ZikangYuan

Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=acxdM9gAAAAJ

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