Papers
3
Total Citations
9
H-Index
2
About
Quoc Huy is an emerging robotics researcher whose work centers on autonomous navigation, coverage path planning (CPP), and multi-robot coordination in complex environments. His research addresses one of the fundamental challenges in robotics: enabling robots to efficiently and completely traverse a defined workspace while navigating both static and dynamic obstacles — a problem with critical real-world applications in cleaning robots, landmine detection, precision agriculture, and autonomous lawnmowers. His most recognized contribution, the BWave framework (2024, 4 citations), advances CPP by tackling energy-constrained scenarios in complex environments, a practical consideration often overlooked in prior literature. Complementing this, his Multi-ST Model (2024, 3 citations) pushes the frontier further by enabling collaborative multi-robot systems to operate effectively amid dynamic obstacles, a notoriously difficult problem in real-world deployments. His more recent Fast Marching Firework method (2025, 2 citations) demonstrates continued innovation in efficient multi-goal path planning across obstacle-rich maps. Though early in his career, Quoc Huy's growing citation record reflects meaningful contributions to intelligent robotics. His work is particularly valuable for researchers and students exploring scalable, energy-aware, and collaborative autonomous systems operating in unpredictable real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3