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About

Dr. Nizar Chatti is a leading researcher in autonomous mobile robotics, specializing in fault-tolerant control, intelligent navigation, and human-robot interaction. His work bridges theoretical control systems with practical machine-learning applications, significantly advancing the reliability and autonomy of robotic platforms. Dr. Chatti’s most impactful contribution is his model-based fault diagnosis approach using set-membership formulation (2016, 18 citations), which provides robust methods for detecting and accommodating actuator faults in real time. He further extended this work with a fault-tolerant self-reconfigurable waypoint guidance system (2025), enabling mobile robots to maintain mission integrity under failures. In the realm of autonomous navigation, Dr. Chatti developed a real-time obstacle avoidance and path tracking strategy integrating machine learning and vision (2022, 16 citations), enhancing dynamic environment adaptability for both indoor and outdoor robots. His earlier work on robust adaptive fuzzy control for manipulator arms (2010) demonstrates his commitment to assistive robotics for people with disabilities. With a growing citation impact, Dr. Chatti’s research is shaping the next generation of resilient, intelligent robotic systems.