Alain Planchais
Papers
7
Total Citations
51
H-Index
4
About
Alain Planchais is a robotics and control systems researcher whose work centers on fault detection and diagnosis (FDD), health monitoring, and fault-tolerant control of wheeled mobile robots. His research has made meaningful contributions to advancing the reliability and autonomy of both unicycle and mecanum-wheeled mobile robotic platforms in real-world and industrial settings. Planchais has pioneered the application of model-based and hardware redundancy methods to detect, isolate, and accommodate sensor and actuator faults in mobile robots — a critical challenge when small-amplitude or drift-like faults can degrade robot performance without immediate detection. His most cited work (2018, 17 citations) established a robust FDI framework for unicycle robots, while subsequent research extended these methods to more complex four-mecanum wheeled mobile robots (4-MWMRs), employing sophisticated techniques such as unknown input observers for linear parameter varying systems. His 2021 study on health state monitoring further connected actuator degradation to observable behavioral impacts, offering practical diagnostic insight. Beyond fault diagnosis, Planchais has addressed trajectory reconfiguration strategies to minimize time delays caused by unexpected obstacles — directly targeting industrial efficiency concerns. With over 50 cumulative citations, his growing body of work reflects an increasing relevance to the field of dependable autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 3Mobile Robot Additive Fault Diagnosis and Accommodation8 citations · 2019
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