Hoang Huu Viet
Papers
12
Total Citations
264
H-Index
7
About
Hoang Huu Viet is a leading researcher in autonomous mobile robotics, with a primary focus on developing efficient algorithms for complete coverage, path planning, and multi-robot coordination in unknown environments. His most influential contribution is the BA* algorithm (115 citations), an online complete coverage approach for cleaning robots that intelligently combines boustrophedon motions with A* search to ensure thorough area coverage while minimizing redundant paths. Building on this foundation, Viet extended his work to multi-robot systems with the BoB algorithm (45 citations), enabling teams of robots to collaboratively cover unknown spaces. He has also made significant strides in reinforcement learning-based path planning, notably through Dyna-Q-based vector direction methods (14 citations), which address the critical challenge of slow learning in obstacle-dense environments. His B-Theta* algorithm (29 citations) further advances online coverage efficiency for autonomous cleaning robots. More recently, Viet has explored radar odometry for robot localization (DeRO, 7 citations), demonstrating his continued innovation in real-world navigation challenges. With over 250 total citations across his publications, Viet's work remains foundational for researchers and engineers developing practical, autonomous cleaning and service robots.
Research Focus
Key Achievements
Top Papers
- 1BA*: an online complete coverage algorithm for cleaning robots115 citations · 2012
- 2BoB: an online coverage approach for multi-robot systems45 citations · 2014
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- 7Batch-Theta* for path planning to the best goal in a goal set9 citations · 2015
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- 9Univector Field Method Based Multi-robot Navigation for Pursuit Problem6 citations · 2012
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