Quang Duy Tran
Papers
1
Total Citations
9
H-Index
1
About
Quang Duy Tran is a pioneering researcher in the field of biorobotics, with a focused expertise in bio-inspired underwater locomotion and intelligent control systems. His work centers on the development of elongated undulating fin robots, drawing inspiration from the black knife fish to create highly maneuverable underwater devices. Tran’s major contribution lies in the optimization of Central Pattern Generator (CPG) models for robotic control, where he introduced an enhanced CPG network that significantly improves force optimization and locomotion efficiency. His most cited paper, "Force Optimization of Elongated Undulating Fin Robot Using Improved PSO-Based CPG" (2022), has garnered 9 citations and demonstrates a novel integration of Particle Swarm Optimization with CPG architectures, achieving superior swimming performance and maneuverability. This work addresses critical challenges in underwater robotics, balancing speed and agility in constrained environments. Tran’s research not only advances the theoretical understanding of biorobotic locomotion but also provides practical frameworks for developing next-generation autonomous underwater vehicles. His contributions are particularly notable for bridging biological principles with engineering solutions, offering a compelling pathway for students and researchers interested in the intersection of robotics, control theory, and biomimicry.
Research Focus
Key Achievements
Top Papers
- 1