Loc Tran
Papers
4
Total Citations
132
H-Index
3
About
Loc Tran is a leading researcher in autonomous systems, specializing in multi-robot coordination, GPS-denied navigation, and search-and-rescue operations. His most impactful work, "Search and Rescue under the Forest Canopy using Multiple UAVs" (2020), has earned 122 citations for pioneering a multi-robot system that overcomes severe perceptual aliasing in forest environments—a critical challenge for collaborative exploration and mapping. This contribution directly addresses the need for reliable loop closure detection in GPS-denied settings, advancing the practical deployment of unmanned aerial vehicles (UAVs) in life-saving missions. Tran has also contributed to open, distributed software architectures for unmanned systems (UxS) at NASA Langley Research Center's Autonomy Incubator, and explored multimodal input for autonomous decision-making under uncertainty. His work bridges theoretical robotics with real-world constraints, making him a key figure in developing resilient, cooperative UAV systems for complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Search and rescue under the forest canopy using multiple UAVs122 citations · 2020
- 2Towards an Open, Distributed Software Architecture for UxS Operations4 citations · 2015
- 3Search and Rescue under the Forest Canopy using Multiple UAVs4 citations · 2019
- 4