Xiangya Qiu

Tianjin University of Science and Technology

Papers

Total Citations

H-Index

About

Xiangya Qiu is a leading researcher at the intersection of robotics, human-machine interaction, and intelligent control systems. Her primary research focuses on advancing teleoperation technologies and human pose recognition to create more intuitive and responsive robotic systems. Qiu’s most influential work, "Intelligent robotic arm for human pose recognition based on teleoperation system" (2024), addresses critical limitations in traditional manipulator control by integrating skeleton recognition and machine learning to enable seamless human-robot collaboration. This contribution has garnered attention with 2 citations, marking an important step toward more adaptive robotic arms that can interpret and replicate human movements in real time. By embedding human operators directly into the control loop, Qiu’s research enhances the precision and safety of robotic teleoperation, with potential applications in manufacturing, healthcare, and hazardous environment exploration. Her work stands out for its practical approach to bridging the gap between human intent and robotic action, offering a foundation for future innovations in assistive and autonomous systems.