Papers
12
Total Citations
177
H-Index
8
About
Guangming Xiong is a leading researcher in mobile robotics, autonomous navigation, and multi-robot systems, with a particular focus on intelligent control and environmental perception. His most influential work includes the development of the VPH+ algorithm for obstacle avoidance, which groups laser radar data into obstacle blocks to enable safer, more efficient robot movement in complex environments. He also pioneered an iterative linear quadratic regulator (ILQR) method for precise trajectory tracking in wheeled mobile robots, and a genetic algorithm-based combinatorial auction model for multi-robot cooperative hunting. Xiong’s research extends to assistive robotics, where he designed a robot with standing-up devices to aid paraplegic patients and the elderly. His work on algal bloom recognition using machine learning and remote sensing data supports oceanographic decision-making. With over 170 citations across his top papers, Xiong’s contributions have advanced both theoretical and applied robotics, earning recognition for practical impact in autonomous navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 5ARA*+: Improved Path Planning Algorithm Based on ARA*11 citations · 2012
- 6Control methods of mobile robot rough-terrain trajectory tracking11 citations · 2010
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