Xiaolong Guan

Papers

Total Citations

H-Index

About

Xiaolong Guan is a leading researcher in robotic-assisted medical systems, with a primary focus on tele-operated ultrasound technology and adaptive mobile robotics. His most significant contribution is the development of a tele-operated robotic ultrasound system for medical diagnosis (2021), which has garnered 38 citations for its potential to enable remote diagnostic procedures. Guan’s earlier foundational work on a 6DOF robot-assisted ultrasound scanning system with a simulated control handle (2017, 19 citations) demonstrated how doctors could remotely control ultrasound probes, enhancing diagnostic efficiency while reducing patient risk. His research extends to outdoor mobile robotics, where he developed an adaptive control system for robots with diameter-variable wheels (2014, 8 citations), addressing challenges in terrain adaptability for exploration and monitoring. Guan’s work bridges critical gaps in telemedicine and robotics, offering practical solutions for remote healthcare delivery and autonomous navigation. With over 65 cumulative citations, his innovations continue to influence the design of safer, more accessible robotic systems for medical and field applications, making him a notable figure in the intersection of robotics and healthcare technology.