Assoc. Prof. Dr. Chunying Li | Ocean Engineering | Best Researcher Award
Associate Researcher, Southern University of Science and Technology China
Dr. Chunying Li is a Research Assistant Professor at the Southern University of Science and Technology (SUSTech), China, with expertise in intelligent underwater robotics, particularly in multi-sensor fusion, autonomous systems, and biomimetic robot control in complex environments, contributing extensively to high-impact projects funded in China and Japan.
Profile
🎓 Education
Dr. Li earned her Ph.D. in Intelligent Mechanical Systems Engineering from Kagawa University, Japan (2021–2023), where her research focused on multi-sensor fusion and control strategies for spherical underwater robots, following a B.Sc. in Control Engineering from Tianjin University of Technology (2017–2021), with undergraduate research on path planning for amphibious spherical robots.
💼 Experience
She currently serves as a Research Assistant Professor in the Department of Electrical and Electronic Engineering at SUSTech (2023–present), and previously worked as a Research Assistant at Kagawa University (2021–2023), actively leading and contributing to international robotics projects involving autonomous underwater systems and human-robot interaction.
🏅 Awards and Honors
Dr. Li was nominated for the Young Scientist of Ocean Power (2024), received the CAA Natural Science Second Prize (2024), was selected as a Shenzhen Overseas High-level Talent (2024), awarded the CSC Scholarship (2022), chaired IEEE ICMA sessions, and won Tianjin’s Outstanding Master’s Dissertation Award (2020–2021).
🔬 Research Focus
Her research centers on the design, perception, and control of amphibious and spherical underwater robots, with emphasis on multi-robot collaboration, multi-sensor fusion, underwater environment perception, motion control algorithms, and AI-enhanced target recognition in challenging and dynamic aquatic environments.
📝 Conclusion
Dr. Chunying Li exemplifies the ideal profile of a rising-star researcher in the field of intelligent robotics, with demonstrated innovation, research leadership, and international collaboration. Her cutting-edge contributions to underwater robotic systems and control technologies make her an excellent nominee for the Best Researcher Award. With further expansion into translational research and high-impact publishing, she is poised to become a leading figure in the robotics research community globally.
Publication
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Title: Evaluation of Detection System for Bioinspired Spherical Underwater Robots Based on the Pressure Sensor Array
Year: 2023
Authors: C Li, S Guo
Citations: 1
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Title: Multiple Bio-Inspired Father-Son Underwater Robot for Underwater Target Object Acquisition and Identification
Year: 2021
Authors: R An, S Guo, Y Yu, C Li, T Awa
Citations: 1
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Title: A Phase-Dependent and EMG-Driven Variable Stiffness Control Strategy for Upper Limb Rehabilitation Robot
Year: 2024
Authors: P Li, S Guo, C Li
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Title: An Improved Motion Strategy with Uncertainty Perception for the Underwater Robot Based on Thrust Allocation Model
Year: 2024
Authors: A Li, S Guo, C Li
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Title: Study on the Backstepping Sliding Mode-Based Tracking Control Method for the SUR
Year: 2024
Authors: C Li, S Guo
Citations: Not listed
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Title: Study on an Adaptive Clamping Device for Passive Safety Delivery of Vascular Intervention Robot
Year: 2024
Authors: S Cao, S Guo, J Guo, J Wang, C Li, H Xu, B Wang, M Ding
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Title: Study on the Path Planning Based on A* Algorithm for Vascular Intervention Robots
Year: 2024
Authors: H Xu, S Guo, C Li, S Cao
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Title: Study on the Depth Control for an “Egg-shaped” Underwater Robot Based on Backstepping Sliding Mode Algorithm
Year: 2024
Authors: H Li, S Guo, C Li, J Long
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Title: Research on Segmentation and Clustering Algorithms of 3D Point Clouds for Mobile Robot Navigation
Year: 2024
Authors: L Huang, S Guo, C Li, Q Lei, J Nie
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Title: Evaluation of the Dynamic Performance of a Novel Egg-shaped Underwater Robot
Year: 2024
Authors: J Long, S Guo, C Li
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Title: Study on the Improved Water Flow Prediction Based on Classification-Regression Approach for Amphibious Spherical Robots
Year: 2024
Authors: J Leng, S Guo, C Li, S Cao
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Title: Study on Improved D* Lite-Based Obstacle Avoidance and Navigation Strategy for the Ellipsoidal Underwater Robot
Year: 2024
Authors: Q Lei, S Guo, C Li, J Nie
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Title: Study on a Novel Fuzzy PID Control System for the Ellipsoidal Underwater Robot
Year: 2024
Authors: X Liu, S Guo, C Li, Q Lei, J Nie
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Title: Design and Control of an Ellipsoidal Underwater Robot Driven by Four-Vector Propellers
Year: 2024
Authors: J Nie, S Guo, C Li, Q Lei
