Papers
1
Total Citations
13
H-Index
1
About
Mo Yang is a leading researcher in fault detection and isolation (FDI) for robotic systems, with a particular focus on industrial robot manipulators. His most cited work, "Actuator Fault Detection and Isolation for Robot Manipulators with the Adaptive Observer" (2012, 13 citations), introduces a novel adaptive observer-based approach to address the critical challenge of detecting and isolating actuator faults in real time. By employing a bank of state observers and an adaptive regulation mechanism, Yang’s method effectively handles unknown parameters introduced by faults, significantly improving robustness and reliability in automated manufacturing environments. This contribution is foundational for ensuring the safety and uptime of robotic systems, directly impacting industries reliant on precision automation. Yang’s work bridges theoretical control theory and practical robotics, offering scalable solutions for fault-tolerant systems. His research continues to influence the development of intelligent, self-diagnosing robots, making him a key figure in advancing industrial automation and cyber-physical system resilience.
Research Focus
Key Achievements
Top Papers
- 1