Liying Yang

Papers

Total Citations

H-Index

About

Liying Yang is a researcher specializing in human-robot interaction and vision-based robotic systems, with a particular focus on advancing the capabilities of remote robot teleoperation. Her most notable contribution, "Robot Teleoperation Using a Vision-Based Manipulation Method" (2010), addresses a fundamental challenge in robotics: enabling natural, intuitive control of robot manipulators in unstructured and unfamiliar environments. By moving away from traditional contact-based mechanical devices that restrict operator movement, Yang's work pioneers more fluid and natural interaction paradigms between humans and robotic systems. This research, which has garnered 14 citations, reflects her commitment to solving practical limitations in teleoperation technology — a field with wide-ranging applications in hazardous environment exploration, remote surgery, and industrial automation. Yang's vision-based approach represents a meaningful step forward in making robotic teleoperation more accessible and effective, reducing the physical constraints placed on human operators while maintaining precise control. Her work contributes to the broader goal of creating smarter, more responsive human-robot collaborative systems that can function reliably even when operating conditions are complex and unpredictable.