Frankie Dong Li
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I am currently a Graduate Student at Macau University of Science and Technology (MUST) and the Institute of Automation, Chinese Academy of Sciences (CASIA), supervised by Prof.Long Chen and Prof.Fei-Yue Wang, working on Space Robotics.
I was a Research Assistant from The Intelligent Machine Research Lab (IMRL) in the SKL-IOTSC at the University of Macau, supervised by Prof. Hui Kong. Before that, I worked as a Research Assistant for one year from June 2022 to June 2023, in the Autonomous and Multi-Agent Systems Research Lab (AMAS-Lab) at the Department of Electronic and Electrical Engineering of Southern University of Science and Technology (SUSTech), supervised by Prof. Zhiyun Lin.
I received the B. Eng. degree from the School of Computer and Information Engineering, Hefei University of Technology in June 2022. During my undergraduate years, I was a founder of the robotics team at Hefei University of Technology and participated in the RoboMaster Robotics Competition from 2019 to 2021.
When I was studying at Fuyang No.3 High School, I was sponsored as a Pearl Student by the Xin Hua Education Foundation (XHEF). I'm truly thankful to them!
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What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models
Tianchen Deng, Yue Pan, Shenghai Yuan, Dong Li, Chen Wang, Mingrui Li, Long Chen, Lihua Xie, Danwei Wang, Jingchuan Wang, Javier Civera, Hesheng Wang, Weidong Chen
Submitted to IEEE Transactions on Robotics (T-RO)
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This paper categorizes core robotics modules into five parts: Perception, Mapping, Localization, Navigation, and Manipulation. It reviews standard 3D scene representation methods, compares their strengths and limitations across these modules, and addresses the central question: What is the best 3D scene representation for robotics? The paper further discusses future trends, focusing on how 3D Foundation Models could serve as a unified solution for robotic applications, while highlighting remaining challenges. It aims to provide a concise yet comprehensive resource for both newcomers and experts in the field.
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Wild3A: Novel View Synthesis from Any Dynamic Images in Seconds
Mingrui Li, Shuhao Zhai, Zibing Zhao, Luyue Sun, Xinxiao Wang, Dong Li#, Shuhong Liu, Hongyu Wang#
ACM MM 2025
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Wild3A is a novel view synthesis framework that enables high-fidelity 3D reconstruction in unconstrained real-world environments in seconds, from arbitrary inputs.
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SLAM-X: Generalizable Dynamic Removal for NeRF and Gaussian Splatting SLAM
Mingrui Li*, Dong Li*, Sijia Hu, Kangxu Wang, Zhenjun Zhao, Hongyu Wang#
ACM MM 2025
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SLAM-X is the first plug-and-play module designed to universally enhance dynamic scene handling across a range of SLAM architectures.
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GARAD-SLAM: 3D GAussian splatting for Real-time Anti Dynamic SLAM
Mingrui Li, Weijian Chen, Na Cheng, Jingyuan Xu, Dong Li#, Hongyu Wang# (Co-corresponding authors)
International Conference on Robotics and Automation (ICRA), 2025
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GARAD-SLAM is the first 3DGS-based SLAM system designed specifically for dynamic scenes.
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UMAD: University of Macau Anomaly Detection Benchmark Dataset
Dong Li, Lineng Chen, Cheng-Zhong Xu, Hui Kong#
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
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A large-scale reference-based anomaly detection benchmark dataset that captures real-world scenarios. UMAD is applicable for both Change Detection and Anomaly Detection tasks.
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GitHub Repository: awesome-Implicit-NeRF-SLAM
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A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites.
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Undergraduate Project, 2018-2022
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During my undergraduate studies, I worked on several projects related to robotics and electronics, including Unmanned Surface Vehicle (USV), Underwater Robot, Intelligent Sorting Trash Can, Automatic Tracking, Identification, and Measuring Device, SLAM-based Mobile Robot, and Robomaster Robots. For more information, please refer to the document.
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Robotics Projects at SUSTech, 2022-2023
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While I was a Research Assistant at SUSTech, I developed various robotic platforms, including mobile robots and robotic arms. I utilized a range of sensors such as 2D/3D Lidar, depth cameras, millimeter-wave radar, and RFID, I implemented V-SLAM(ORB-SLAM, VINS, and RTAPMAP), Lidar-SLAM(Cartographer, LOAM/Lego-LOAM). I also developed a grasping system based on tags.
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Honors & Awards
- Third Prize | International Underwater Robot Competition, 2020
- First Prize | National Undergraduate Electronics Design Contest in Anhui Province, 2020
- Second Prize | RoboMaster Robotics Competition, 2020
- Third Prize | National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction, 2020
- Individual Scholarship | Hefei University of Technology, 2019, 2020, 2021
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Services
Conference Services
- Organizers of the IROS 2026 Special Session on Robotics for Space Exploration
- AAAI-26 Student Abstract and Poster Program Committee Member
Conference Reviewers
- AAAI-26 Student Abstract and Poster Program Committee Member
- IEEE International Conference on Robotics and Automation (ICRA) 2026 * 3, 2025 * 2
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026 * 4, 2025 * 2
- IEEE International Conference on Robot and Human Interactive Communication (ROMAN) 2025 * 1
- IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI) 2026 * 2
Journal Reviewers
- International Journal of Robotics Research (IJRR) * 2
- IEEE Transactions on Robotics (T-RO) * 1
- IEEE Robotics and Automation Magazine (RA-M) * 1
- Transactions on Automation Science and Engineering (TASE) * 3
- IEEE Robotics and Automation Letters (RAL) * 4
- IEEE Robotics and Automation Practice (RA-P) * 1
- ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS) * 1
- Pattern Recognition (PR) * 1
- Neurocomputing * 1
- IEEE Sensors Journal * 1
- Scientific Reports * 1
- Applied Soft Computing Journal * 1
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