Papers
14
Total Citations
143
H-Index
5
About
Youcef Touati is a researcher whose work spans robotics, control systems, brain-machine interfaces, and intelligent computational methods. His research career reflects a sustained commitment to advancing autonomous and human-guided robotic systems through sophisticated control architectures. Touati's most impactful contribution is his 2017 work on robust PID adaptive controllers for exoskeletons using particle swarm optimization, which has garnered 79 citations and established him as a notable voice in rehabilitation robotics and bio-inspired optimization. His earlier foundational work on neuro-fuzzy and fuzzy logic control methodologies for hybrid force/position robot control demonstrated a deep expertise in intelligent MIMO system design, with applications ranging from Cartesian robots to industrial assembly cells. A particularly compelling thread in Touati's research is his exploration of brain-machine interfaces for thought-controlled robotics, including EEG-based error potential detection and passive/active BMI frameworks designed to empower individuals with severe motor disabilities such as quadriplegia. His work on fault detection using bond graph approaches further broadens his technical reach into system diagnostics and robustness. Collectively, his publications — accumulating over 130 citations — reflect a researcher dedicated to bridging intelligent control theory with real-world assistive and industrial robotics applications.
Research Focus
Key Achievements
Top Papers
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- 3Neuro-fuzzy based approach for hybrid force/position robot control7 citations · 2003
- 4Fault Estimation and Isolation Using Bond Graph Approach6 citations · 2012
- 5A neural network-based approach for an assembly cell control6 citations · 2007
- 6Swarm intelligence routing approach in networked robots5 citations · 2012
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- 9Fuzzy logic controller design methodology for Cartesian robot control4 citations · 2006
- 10