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About

Malek Njah is a robotics researcher specializing in intelligent control systems for assistive mobile robots, with a particular focus on autonomous electric wheelchairs. His work addresses the critical challenge of providing safe, reliable navigation for individuals with mobility impairments. Njah’s major contributions lie in the integration of fuzzy logic controllers and multisensor data fusion to enable autonomous wheelchair operation in indoor environments. His most cited paper, “Intelligent mobile manipulator navigation using hybrid adaptive-fuzzy controller” (2016, 13 citations), demonstrates advanced control strategies for mobile manipulation. He has also advanced localization techniques through “Multisensor data fusion for electrical wheelchair localization using extended Kalman Filter” (2017, 9 citations), which combines data from multiple sensors to improve positioning accuracy. His research on trajectory tracking (2019, 7 citations) and autonomous navigation using intermediate targets (2017, 6 citations) further establishes his expertise in reactive obstacle avoidance and path planning. Njah’s work, spanning from early DVZ-based obstacle avoidance (2011) to sophisticated adaptive control systems, has accumulated over 40 citations, reflecting its growing influence in the field of assistive robotics. His contributions are paving the way for greater autonomy and quality of life for disabled individuals.