Xiaona Wang

Institute of Intelligent Machines, Chinese University of Hong Kong, Chinese Academy of Sciences

Papers

Total Citations

141

H-Index

About

Xiaona Wang is a researcher whose work spans medical robotics, minimally invasive surgical technologies, and advanced control systems for robotic platforms. She has made significant contributions to the field of wireless capsule endoscopy, most notably through her highly influential 2004 survey paper that mapped the landscape of commercially available and prototype wireless robotic capsule endoscopes, earning 108 citations and establishing itself as a foundational reference in the field. This work critically outlined the engineering and manufacturing challenges that would shape subsequent research directions for years to come. Wang's expertise extends into surgical robotics, as demonstrated by her 2012 review of robotic systems designed for Natural Orifice Transluminal Endoscopic Surgery (NOTES), a cutting-edge approach that eliminates abdominal incisions entirely, contributing 30 citations to the scholarly conversation. More recently, her research has evolved toward intelligent control systems, with a 2024 study applying memory and attention-based reinforcement learning to musculoskeletal robots — addressing the complex challenge of incomplete sensory information in highly redundant systems. Together, Wang's body of work reflects a sustained commitment to advancing both the hardware and intelligence behind next-generation medical and biomechanical robotics.