Yuying Xue

Papers

Total Citations

H-Index

About

Yuying Xue is a researcher whose work lies at the intersection of assistive robotics and intelligent control systems, with a particular focus on enhancing mobility for individuals with disabilities. Her most cited paper, "Design and realization of a novel obstacle avoidance algorithm for intelligent wheelchair bed using ultrasonic sensors" (2017, 13 citations), addresses a critical challenge in the field of Intelligent Wheelchair Beds (IWB)—one of the most active research directions in robotics. In this work, Xue proposed and implemented an obstacle avoidance algorithm based on the Artificial Potential Field (APF) method, utilizing ultrasonic sensors to enable safe and autonomous navigation. This contribution is significant for its practical application in improving the quality of life for users, demonstrating how sensor-based control can be integrated into real-world assistive devices. While her citation count reflects a focused, early-career impact, Xue’s work exemplifies the translation of theoretical robotics concepts into tangible solutions for healthcare and rehabilitation. Her research underscores the importance of developing robust, low-cost navigation systems that can operate reliably in dynamic environments, paving the way for more intelligent and responsive mobility aids.