Papers
23
Total Citations
230
H-Index
7
About
Dr. Youcef Zennir is a leading researcher in the control and safety of complex robotic systems, with a particular focus on multi-robot collaboration in hazardous environments. His work bridges advanced control theory—including Model Predictive Control (MPC), fuzzy logic, and sliding mode control—with rigorous system safety analysis. Dr. Zennir’s most impactful contributions lie in adapting System-Theoretic Process Analysis (STPA) and Bowtie methods to model and quantify collision hazards in human-robot collaborative settings, as seen in his highly cited 2023 paper (34 citations) and his 2020 comparative study (33 citations). He has also made significant strides in robot arm control, notably comparing MPC and LQ optimal control for a two-link arm (42 citations). His research extends to autonomous vehicle path tracking using fuzzy logic controllers and innovative path planning with firefly algorithms. With over 180 total citations, Dr. Zennir’s work is essential for engineers designing safe, reliable, and high-performance autonomous systems for industrial and laboratory applications.
Research Focus
Key Achievements
Top Papers
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- 5Fuzzy logic controller for autonomous vehicle path tracking18 citations · 2017
- 6Model Predictive Control of a Three Degrees of Freedom Manipulator Robot8 citations · 2019
- 7Fuzzy-PI Controller Tuned with HBBO for 2 DOF Robot Trajectory Control7 citations · 2022
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- 10Multi-controllers approach applied to a wrist of a robot7 citations · 2013