Xiangfeng Kong

Papers

Total Citations

H-Index

About

Dr. Xiangfeng Kong is a researcher whose work sits at the intersection of assistive robotics and autonomous navigation, with a particular focus on enhancing mobility for individuals with disabilities. His most cited paper, "SLAM Based Indoor Autonomous Navigation System For Electric Wheelchair" (2022, 10 citations), addresses a critical real-world challenge: the physical strain of manual wheelchairs and the cognitive fatigue associated with operating electric ones. By integrating Simultaneous Localization and Mapping (SLAM) technology, Dr. Kong’s system enables an electric wheelchair to autonomously navigate indoor environments, reducing the user's need for constant manual control or high cognitive load. This contribution is significant not only for its technical integration of SLAM into a mobility aid but also for its direct application to improving quality of life. While his citation count is still growing, the work represents a meaningful step toward more intelligent, user-friendly assistive devices. Dr. Kong’s research exemplifies how robotics can be harnessed for social good, offering a glimpse into a future where autonomous navigation systems are seamlessly integrated into everyday assistive technologies.