Kaiqi Xiong
Papers
1
Total Citations
8
H-Index
1
About
Dr. Kaiqi Xiong is a leading researcher in autonomous navigation and multi-robot systems, with a particular focus on lightweight, vision-based approaches. His most cited work, "A Decentralized Cooperative Navigation Approach for Visual Homing Networks" (2023, 8 citations), addresses a critical challenge in robotics: enabling robots to navigate back to a "home" location using only visual information without heavy computational or sensor requirements. Xiong’s key contribution lies in developing decentralized cooperative strategies that allow multiple robots to share visual homing data, significantly improving navigation accuracy and robustness in GPS-denied environments. This work bridges the gap between simple insect-inspired visual homing and complex, centralized SLAM systems. While his citation count is still growing, Xiong’s research is gaining traction for its practical applications in search-and-rescue, environmental monitoring, and swarm robotics. His approach is notable for its efficiency—requiring only stored home images and current visual input—making it ideal for resource-constrained platforms. As the field moves toward scalable, low-cost autonomy, Xiong’s contributions are poised to have lasting impact on how robots navigate the real world.
Research Focus
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Top Papers
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