Guao Yang
Papers
1
Total Citations
2
H-Index
1
About
Guao Yang’s research focuses on advancing the safety and control of teleoperated robotic systems, particularly in hazardous environments like demining operations. His major contribution lies in integrating fuzzy logic controllers with haptic feedback systems to reduce operator error during urgent teleoperation tasks—a critical challenge where human mistakes can endanger both the robot and surrounding personnel. In his most cited work, “Safety on Teleoperation Demining Wheeled Robots Based on Fuzzy Logic Controller and Haptic System” (2017), Yang proposed a novel approach that combines real-time haptic cues with fuzzy decision-making, enabling more intuitive and reliable remote control. Though early in his citation impact (2 citations), this foundational paper addresses a vital niche in human-robot interaction for explosive ordnance disposal. Yang’s work is notable for its practical emphasis on operator safety and system robustness, bridging control theory and human factors engineering. His research holds promise for improving teleoperation in dangerous settings, from minefields to disaster response, and reflects a commitment to making robotic assistance safer and more accessible for critical missions.
Research Focus
Key Achievements
Top Papers
- 1