Ali Alavi Nasab

Papers

Total Citations

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About

Ali Alavi Nasab is a researcher focused on the safe and resilient control of autonomous mobile robots, with a particular emphasis on nonholonomic systems. His work centers on the integration of Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) within a Quadratic Programming (QP) framework to guarantee both stability and safety in dynamic environments. A key contribution is the development of a "safe prescribed time controller" for wheeled mobile robots, which uses CBFs as a safety filter to ensure collision avoidance with moving obstacles within a user-defined time frame, even under actuator faults. This work, published in 2025, has already garnered 4 citations, reflecting its timely relevance. His earlier 2023 study further advanced this approach by addressing fault tolerance, ensuring that mobile robots can maintain safe navigation despite hardware failures. While his citation counts are early indicators of impact, Nasab’s research is at the forefront of merging real-time safety guarantees with robust control, offering practical solutions for autonomous navigation in unpredictable settings. His work is particularly valuable for students and engineers seeking to implement provably safe controllers in field robotics.