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About

Dr. Khalil Azha Mohd Annuar is a robotics researcher whose work bridges bio-inspired control, swarm intelligence, and practical automation. His primary research areas include multi-robot coordination, central pattern generator (CPG) control for legged locomotion, and odor-sensing navigation. Dr. Annuar’s most cited work, "Synchronous Mobile Robots Formation Control" (2018, 11 citations), addresses the challenge of enabling mobile robots to communicate wirelessly and execute synchronized movements—a foundational contribution to formation control. He further advanced bio-robotics by optimizing a CPG controller for a one-legged hopping robot using genetic algorithms (2018, 4 citations), demonstrating how evolutionary computation can tune neural-inspired controllers for dynamic stability. His application of Particle Swarm Optimization (PSO) for odor-based robot navigation (2017, 3 citations) showcases his versatility in applying swarm intelligence to environmental sensing. Notably, Dr. Annuar also developed an autonomous sweeper robot for badminton courts (2016, 3 citations), illustrating his commitment to translating research into real-world, sport-specific automation. With a career focused on both theoretical control systems and tangible robotic solutions, his work continues to inspire students and researchers exploring the intersection of neural control, optimization, and practical robotics.