Papers
11
Total Citations
314
H-Index
6
About
Hicham Chaoui is a prominent researcher specializing in intelligent control systems, adaptive learning, and robotics, with particular expertise in neural network-based and fuzzy logic control strategies for complex nonlinear systems. His most influential contribution, "ANN-Based Adaptive Control of Robotic Manipulators With Friction and Joint Elasticity" (2009), has garnered over 150 citations and established him as a leading voice in applying artificial neural networks to tackle the inherent challenges of flexible-joint manipulators, including Coulomb friction and parameter uncertainty. Building on this foundation, his early work on Type-2 Fuzzy Logic Control (2007, 90 citations) and hybrid neural-fuzzy sliding mode control further cemented his reputation for developing robust, intelligent control frameworks capable of handling unknown system dynamics. Chaoui's research has progressively expanded to encompass mobile robotics, nonholonomic vehicle stabilization, and autonomous navigation, developing universal tracking control laws and time-varying feedback strategies applicable across diverse robotic platforms. His 2022 systematic survey on adaptive learning for nonlinear systems reflects his broader ambition to synthesize decades of progress in the field. More recently, his work on energy-aware sensor fusion and intelligent thermal protection for embedded robotic systems demonstrates a forward-looking commitment to practical, reliable autonomy. Collectively, his publications have attracted nearly 300 citations, underscoring his sustained and meaningful impact on the robotics and intelligent control community.
Research Focus
Key Achievements
Top Papers
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- 2Type-2 Fuzzy Logic Control of a Flexible-Joint Manipulator90 citations · 2007
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- 5LINEAR TIME-VARYING FEEDBACK LAW FOR VEHICLES WITH ACKERMANN STEERING8 citations · 2017
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