Papers
2
Total Citations
14
H-Index
2
About
Gao Bo is a robotics researcher whose work centers on vision-based control for mobile robot navigation, with a particular focus on the task sequencing problem. His major contributions lie in developing robust, multicriteria image-based controllers that address fundamental challenges in visual servoing. Bo’s 2005 paper introduces a controller that stabilizes a camera despite unknown target depth, while also determining the associated region of stability—a critical advance for real-world robot deployment. His 2006 work extends this by employing a mixed polytopic and norm-bounded representation of uncertainties, enabling more reliable performance under visual feature constraints. Though his citation counts are modest (8 and 6 respectively), these papers represent foundational work in robust visual control, offering practical solutions to the depth uncertainty problem that plagues many vision-based systems. Bo’s research is particularly notable for its dual emphasis on theoretical rigor and practical applicability, making his methods valuable for researchers working on autonomous navigation, visual servoing, and multi-task robot coordination.
Research Focus
Key Achievements
Top Papers
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