Huy Xuan Pham
University of Nevada, Reno, Aarhus University, University of Utah
Papers
9
Total Citations
198
H-Index
8
About
Huy Xuan Pham is a robotics and autonomous systems researcher whose work spans civil infrastructure inspection, aerial robotics, and deep learning-based navigation. His early contributions focused on integrating nondestructive evaluation sensor fusion with autonomous robotic platforms to modernize infrastructure inspection—a 2018 paper on this topic has accumulated 76 citations, reflecting its significant influence on the field. Alongside a complementary study on mobile robots for automated civil infrastructure evaluation, this body of work established Pham as a key voice in intelligent inspection systems. More recently, Pham has made substantial contributions to autonomous drone racing and aerial robot navigation, developing novel approaches such as PencilNet, a zero-shot sim-to-real transfer method for gate perception, and event-based navigation using sparse gated recurrent networks. His 2022 work on sim-to-real deep reinforcement learning for safe aerial path planning further demonstrates his commitment to bridging simulation and real-world deployment. Pham has also contributed to underwater robotics through the MIMIR-UW synthetic dataset and explored MRI-compatible robotics for image-guided medical procedures, revealing a remarkably broad research portfolio. With over 190 cumulative citations, his work continues to shape multiple frontiers of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Deep learning for vision-based navigation in autonomous drone racing19 citations · 2022
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- 6A Mobile Robot for Automated Civil Infrastructure Inspection and Evaluation16 citations · 2018
- 7MRI-compatible electromagnetic servomotor for image-guided medical robotics15 citations · 2022
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