Hoang-Anh Phan
Papers
3
Total Citations
15
H-Index
3
About
Hoang-Anh Phan is an emerging robotics and autonomous systems researcher whose work spans robot exploration, 3D environmental mapping, and industrial automation. With a growing body of citations across multiple publication years, Phan has established a focused research identity at the intersection of autonomous navigation and practical robotic applications. Among Phan's most recognized contributions is an enhanced sampling-based method for 2D autonomous robot exploration, which refines next-best view strategies to optimize path planning for UAVs and micro aerial vehicles operating in complex environments. This work, garnering 6 citations, reflects a meaningful advance in exploration utility functions for three-dimensional outdoor robotics. Complementing this, Phan's sensor fusion approach to RTAB-Map-based indoor 3D mapping — with 5 citations — addresses real-world challenges of positioning accuracy and computational efficiency, pushing the boundaries of reliable real-time mapping in complex indoor spaces. Phan also demonstrates a strong applied engineering sensibility, developing vision systems that improve pick-and-place robot reliability for precision smartphone camera module testing, earning 4 citations from the industrial robotics community. Collectively, these contributions signal a researcher bridging theoretical autonomy algorithms with high-stakes manufacturing and navigation applications, making Phan a notable voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
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