Xiying Wang

Shaanxi University of Science and Technology, Harbin University

Papers

Total Citations

H-Index

About

Xiying Wang is a robotics researcher whose work centers on advancing dual-arm robotic manipulation and integrating artificial intelligence with physical systems. Wang’s most influential contribution is the development of a dual quaternion-based kinematic control framework for dual-arm robots, exemplified by the Yumi platform. This approach elegantly simplifies the complex mathematics of cooperative tasks, replacing cumbersome translation vectors and rotation matrices with a unified, efficient representation. This foundational paper has garnered 15 citations, establishing Wang as a key figure in kinematic control theory. More recently, Wang has explored the convergence of deep learning and the Internet of Things, designing a tennis robot that leverages Mask R-CNN for object detection and RFID for real-time tracking. This forward-looking work, with 6 citations, demonstrates a talent for bridging cutting-edge software with tangible hardware applications. By tackling both the theoretical underpinnings of robot coordination and the practical challenges of intelligent, connected systems, Xiying Wang’s research offers a compelling blueprint for the next generation of autonomous, collaborative robots.