Dr. Chen Shoubin, Shenzhen University, China.
Dr. Shoubin Chen is a forward-thinking Research Fellow at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), affiliated with Shenzhen University. With a Ph.D. in Photogrammetry and Remote Sensing, his career has been rooted in the intersection of spatial intelligence, robotics, and AI. From leading national research projects to publishing in reputable journals and securing multiple invention patents, Dr. Chen has made substantial contributions to the field of embodied intelligent robotics. His research emphasizes multi-sensor fusion and autonomous mapping, aiming to give machines human-like spatial perception and decision-making capabilities.
Profile
Google Scholar
📚 Early Academic Pursuits
Shoubin Chen’s academic journey began with a strong foundation in geospatial sciences, culminating in a Ph.D. in Photogrammetry and Remote Sensing in 2020. This prestigious degree was awarded through a rigorous joint training program between Wuhan University and the Finnish Geospatial Research Institute. During his doctoral studies, he developed a deep interest in integrating advanced spatial data techniques with artificial intelligence, laying the groundwork for his future research endeavors. His early academic phase was marked by a commitment to cross-border scientific collaboration and multidisciplinary exploration, which has since defined his research approach.
🧑💻 Professional Endeavors
Currently serving as a Research Fellow and graduate supervisor at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) and Shenzhen University, Dr. Chen plays a pivotal role in advancing embodied intelligence within the Spatial Intelligence Team. His responsibilities include mentoring postgraduate students, overseeing cutting-edge research, and steering major national and provincial scientific projects. He has contributed to several national-level initiatives, including two National Natural Science Foundation of China grants, support from the China Postdoctoral Science Foundation, and sub-projects under the National Key Research and Development Program. These experiences have sharpened his expertise in high-precision robotic mapping and autonomous navigation.
🤖 Contributions and Research Focus
Dr. Chen’s primary research focus lies in embodied intelligent robotics, with an emphasis on multi-sensor fusion, robotic perception, and spatial mapping technologies. He is recognized for integrating data from various sensing modalities to improve the autonomy and spatial awareness of robotic systems. His innovations aim to empower robots with human-like spatial understanding, allowing them to operate reliably in complex environments. This research direction is crucial for applications ranging from autonomous vehicles to intelligent service robots, contributing significantly to the frontier of AI-driven robotics.
🏅 Accolades and Recognition
Throughout his academic and professional career, Shoubin Chen has garnered considerable recognition for his scientific excellence. He has published nearly ten high-quality papers as either the first or corresponding author in SCI Q2 journals and CCF B-tier or higher conferences and journals. Moreover, he has applied for over ten invention patents, underscoring his commitment to both theoretical advancement and practical application. His reputation in the academic community is further highlighted by his service as a peer reviewer for prestigious platforms such as the IEEE Internet of Things Journal, Remote Sensing of Environment, IEEE Transactions on Intelligent Vehicles, and ICRA, one of the top robotics conferences globally.
🌐 Impact and Influence
Dr. Chen’s work has had a profound impact on the fields of AI, robotics, and spatial computing. His multi-disciplinary approach has influenced how robots understand and interact with their environments, offering transformative possibilities in smart cities, autonomous transport, and digital mapping. By fusing photogrammetry with robotics and AI, he has contributed to a new paradigm in spatial intelligence that bridges digital perception and physical action. His projects have not only generated academic outputs but have also driven technological innovations with potential for real-world deployment.
🌱 Legacy and Future Contributions
As a mentor, innovator, and research leader, Shoubin Chen continues to inspire the next generation of scientists and engineers in AI and robotics. His forward-looking vision involves deepening the integration of embodied intelligence with environmental understanding, enabling machines to collaborate more intuitively with humans. He is poised to expand his research to include human-robot interaction, sustainable urban intelligence, and smart sensing systems. With a growing portfolio of publications, patents, and mentorship experiences, his contributions are set to leave a lasting legacy in the development of intelligent systems that seamlessly bridge perception and action.
🔬 Vision in Artificial Intelligence and Robotics
Guided by a vision that combines spatial science with artificial cognition, Dr. Chen’s work embodies the future of AI-powered robotics. His pursuit of intelligent, context-aware robotic systems aligns with global goals in automation, smart infrastructure, and digital economy. As AI becomes increasingly pervasive in everyday life, his contributions are steering the technology toward safer, more efficient, and more interactive systems. Through continuous innovation and collaboration, he remains at the forefront of a transformative research frontier that blends engineering precision with visionary thinking.
Publication
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Title: Exploring embodied multimodal large models: Development, datasets, and future directions
Authors: S Chen, Z Wu, K Zhang, C Li, B Zhang, F Ma, FR Yu, Q Li
Year: 2025
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Title: Distributed Robust Communication-Efficient Multi-Robot SLAM Combining Real-Time Intersection and Historical Loop Constraints
Authors: B Zhang, Z Xiong, J Qiu, S Chen, Y Hu, S Chen
Year: 2025
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Title: TextGeo-SLAM: A LiDAR SLAM With Text Semantics and Geometric Constraints-Based Loop Closure
Authors: S Chen, C Li, Q Jiang, X Zhuang, B Zhang, B Zhou, Q Li
Year: 2024
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Title: ASL-SLAM: A LiDAR SLAM with activity semantics-based loop closure
Authors: B Zhou, C Li, S Chen, D Xie, M Yu, Q Li
Year: 2023
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Title: Comparative analysis of SLAM algorithms for mechanical LiDAR and solid-state LiDAR
Authors: B Zhou, D Xie, S Chen, H Mo, C Li, Q Li
Year: 2023
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Title: Cooperative smartphone GNSS/PDR for pedestrian navigation
Authors: C Jiang, Y Chen, C Chen, S Chen, Q Meng, Y Bo, J Hyyppa
Year: 2022
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Title: Indoor Attitude Estimation Using Equipped Gyroscopes and Depth Sensors
Authors: Q Shi, Z Song, Z Xiao, S Chen, F Wang
Year: 2022
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Title: LI-SLAM: Fusing LiDAR and Infrared Camera for Simultaneous Localization and Mapping
Authors: B Zhou, D Xie, S Chen, C Li, H Mo
Year: 2022
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Title: NDT-LOAM: A real-time LiDAR odometry and mapping with weighted NDT and LFA
Authors: S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li
Year: 2021
✅ Conclusion
In conclusion, Dr. Shoubin Chen exhibits all the core qualities of a Best Researcher Award recipient: deep scientific insight, proven research leadership, strong publication and patent output, and a visionary approach to solving real-world problems through AI and robotics. While there are opportunities to grow his international footprint, his current accomplishments already place him among the leading young researchers in his field. Based on the evidence of impact, innovation, and research excellence, he is highly suitable for the Best Researcher Award.