Yanyan Chen

Nanjing University of Posts and Telecommunications, Harbin Institute of Technology

Papers

Total Citations

H-Index

About

Yanyan Chen’s research lies at the intersection of robotics, human–robot interaction, and intelligent perception systems. Her work spans foundational challenges in autonomous navigation, robotic manipulation, and assistive technologies. In her highly cited 2012 paper on monocular SLAM, she introduced a novel loop closure detection method that improved mapping accuracy for vision-based robots—a contribution that remains relevant for autonomous systems operating in unstructured environments. Chen also advanced the design of spatial robotic manipulators with a gravity balance mechanism (2016), enabling more efficient and safer operation in industrial and service contexts. Her exploration of resource service access mechanisms for service robots (2013) addressed critical coordination challenges among heterogeneous robotic systems in networked environments. More recently, in 2019, she developed a surface electromyography (SEMG)-angle model based on Hidden Markov Models, enhancing intuitive control of rehabilitation exoskeletons. Though her citation counts are modest, each paper targets a distinct, practical problem in robotics—from SLAM and manipulation to human–robot interaction—demonstrating a focused, interdisciplinary approach. Chen’s work is particularly valuable for researchers developing accessible, adaptive robotic systems for real-world applications.