Van Dong Nguyen
Ho Chi Minh City University of Technology, Trường ĐH Nguyễn Tất Thành
Papers
6
Total Citations
36
H-Index
4
About
Van Dong Nguyen is a leading researcher in bio-inspired robotics, specializing in the design and control of undulating fin propulsion systems for underwater robots. His work focuses on replicating the agile locomotion of knifefish, particularly the black ghost knifefish, to develop highly maneuverable underwater vehicles. Nguyen's major contributions include the development of advanced Central Pattern Generator (CPG) networks—modified with coupled Hopf oscillators—to generate smooth, adaptive fin motions. He has pioneered the integration of reinforcement learning, such as Deep Deterministic Policy Gradient (DDPG), and optimization algorithms like improved Particle Swarm Optimization (PSO) to fine-tune CPG parameters for maximum thrust and efficiency. His most cited paper (2021, 10 citations) demonstrates a CPG-based controller that significantly improves convergence and stability, while his 2022 work (9 citations) achieves force optimization through enhanced CPG models. Nguyen has also explored the optimal number of fin-rays and modular design principles, contributing foundational knowledge to the field. His research, with cumulative citations exceeding 36, is pivotal for advancing bio-robotic fish technology, offering practical solutions for underwater exploration, surveillance, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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- 5Modular Design of Gymnotiform Undulating Fin3 citations · 2019
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