Papers
2
Total Citations
6
H-Index
2
About
Dr. Tu-Gia-Thinh Nguyen is a rising researcher in multi-robot systems, specializing in cooperative control, path planning, and formation management for Multiple Mobile Robot Systems (MMRS). His work tackles the complex challenge of coordinating fleets of robots to move efficiently and cohesively in shared environments. In his most cited paper (2024, 4 citations), he introduced novel methods combining Ant Colony Optimization (ACO) with A* algorithms to determine optimal moving trajectories and formation control, significantly improving the efficiency of multi-robot navigation. His earlier work (2023, 2 citations) focused on cooperative control using LIDAR-based 2D mapping, employing leader-following algorithms to maintain precise formations in indoor spaces. Though early in his career, Dr. Nguyen’s contributions are foundational for applications in warehouse automation, search-and-rescue, and industrial robotics, where coordinated robot teams must navigate without collision. His research bridges theoretical optimization with practical sensor integration, offering scalable solutions for real-world multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1ITSP/IMTSP-Based Path Planning for Multiple-Mobile Robot System4 citations · 2024
- 2