Da-Hyun Nam
Papers
1
Total Citations
2
H-Index
1
About
Da-Hyun Nam is a rising researcher in autonomous systems, with a focus on integrated motion planning and control for unmanned ground vehicles (UGVs). Their work addresses the critical challenge of coordinating task assignment, path planning, and real-time control in dynamic environments—a key bottleneck for field robotics. Nam’s most-cited paper, “MPPI-based Integrated Task Assignment, Path Planning, and Control for Unmanned Ground Vehicles” (2024), introduces a model predictive path integral (MPPI) framework that unifies these traditionally separate modules, enabling UGVs to adapt to obstacles and mission changes without replanning delays. Though early in its trajectory, this work has already garnered 2 citations, signaling growing interest from the robotics community. Nam’s contributions are particularly notable for bridging theoretical optimal control with practical deployment constraints, offering a scalable solution for multi-robot coordination. Their research holds promise for applications in search-and-rescue, autonomous logistics, and defense. As a young scholar, Nam is establishing a reputation for rigorous system integration—a skill set increasingly vital for next-generation autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1