Ailing Zhang

Papers

Total Citations

H-Index

About

Ailing Zhang is a leading researcher in teleoperation systems, multisensory feedback, and the Internet of Things (IoT). Her most-cited work, "Multisensory Fusion, Haptic, and Visual Feedback Teleoperation System Under IoT Framework" (2022, 30 citations), addresses a critical challenge in remote robotic control: operator fatigue and accuracy degradation. Zhang’s major contribution lies in integrating haptic and visual feedback within an IoT framework to enhance operator performance and reduce physical and mental strain during teleoperation. This innovation has direct applications in remote nursing, semi-mechanical control, and hazardous environment operations. By fusing multiple sensory channels, her system improves task precision and user experience, paving the way for more intuitive and reliable human-robot interaction. Zhang’s research is notable for bridging the gap between theoretical IoT architectures and practical teleoperation challenges, offering a scalable solution for real-world deployment. Her work continues to influence the design of next-generation teleoperated systems, with potential impacts on healthcare, manufacturing, and disaster response. With growing recognition in the field, Zhang is establishing herself as a key contributor to the advancement of multisensory teleoperation and IoT-enabled robotics.