Papers
23
Total Citations
844
H-Index
14
About
Huan Nguyen is a robotics researcher whose work sits at the intersection of aerial robotics, autonomous exploration, and resilient navigation in extreme environments. His research has made significant contributions to enabling micro aerial vehicles (MAVs) and multi-robot systems to operate autonomously in some of the most challenging settings imaginable — subterranean tunnels, cave networks, and underground mines. Nguyen's most influential work, "Motion Primitives-based Path Planning for Fast and Agile Exploration using Aerial Robots" (2020, 176 citations), introduced a novel planning strategy that balances speed and agility within the endurance constraints of MAVs. His complementary work on multi-modal sensor fusion (138 citations) addressed the critical challenge of resilient pose estimation in GPS-denied environments. These contributions proved foundational to the CERBERUS team's performance in the prestigious DARPA Subterranean Challenge, documented in a paper accumulating over 109 citations. Beyond autonomous navigation, Nguyen has pioneered collision-tolerant robot designs like the RMF-Owl, and explored forceful aerial manipulation through innovative robotic chain systems. His body of work — spanning path planning, hardware design, multi-robot teaming, and field deployment — reflects a rare combination of theoretical rigor and real-world engineering impact, making him a compelling figure in cutting-edge field robotics.
Research Focus
Key Achievements
Top Papers
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- 5Autonomous Search for Underground Mine Rescue Using Aerial Robots57 citations · 2020
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- 7Resilient Collision-tolerant Navigation in Confined Environments27 citations · 2021
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- 9Autonomous Cave Exploration using Aerial Robots22 citations · 2021
- 10Field-hardened Robotic Autonomy for Subterranean Exploration21 citations · 2019