Yalou Huang
Papers
24
Total Citations
385
H-Index
9
About
Yalou Huang is a robotics researcher whose work spans mobile robot navigation, simultaneous localization and mapping (SLAM), multi-robot cooperation, and autonomous vehicle control. With a career dedicated to advancing intelligent robotic systems, Huang has made significant contributions to some of the field's most technically demanding challenges. Among his most influential work is his research on tractor-trailer mobile robots, including trajectory generation and tracking control for double-steering systems (95 citations), which addressed the complex kinematics of multi-body robotic configurations. His 2015 study on multisensor information fusion for people tracking (66 citations) demonstrated practical advances in human-aware robotics by combining laser range finder and monocular camera data through particle filtering. His multi-robot area exploration framework (40 citations) introduced communication-aware cooperative strategies that remain relevant to swarm robotics today. Huang's sustained contributions to SLAM — spanning active exploration, frontier-based motion planning, and visual place recognition — reflect a deep commitment to enabling robots to understand and navigate unknown environments reliably. His experimental validations and simulation frameworks have helped bridge theoretical algorithms and real-world deployment. Collectively accumulating over 300 citations, Huang's body of work represents a meaningful and enduring contribution to autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 3A cooperative approach for multi-robot area exploration40 citations · 2010
- 4Motion Planning for SLAM Based on Frontier Exploration24 citations · 2007
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- 7Trajectory planning and tracking control for autonomous bicycle robot16 citations · 2014
- 8A Novel Approach to Image-Sequence-Based Mobile Robot Place Recognition14 citations · 2019
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