Luyao Xing

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Luyao Xing is a rising researcher in robotics and intelligent systems, with a primary focus on advancing human-robot interaction through flexible exoskeleton technologies and deep learning-based perception. Xing’s most notable contribution is a comprehensive survey on flexible exoskeleton robots, which has garnered 19 citations and addresses critical limitations in traditional rigid exoskeletons—namely, restricted movement comfort, flexibility, and safety hazards. By highlighting the advantages of soft, high-adaptability actuators and impact-resistant materials, this work has helped shape a new direction in wearable robotics, aiming to enhance user mobility and safety in rehabilitation and assistive applications. Xing has also explored deep learning methods for target recognition and localization, a key challenge in enabling intelligent robots to operate effectively in dynamic environments such as smart homes, agriculture, and industry. Though early in their career, Xing’s work bridges mechanical design and artificial intelligence, laying groundwork for more intuitive and adaptive robotic systems. With a growing citation record and a focus on solving real-world usability problems, Xing is establishing a reputation as a thoughtful contributor to next-generation robotics.