Khaleq Zghair

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About

Khaleq Zghair is a researcher specializing in autonomous mobile robotics, with a particular focus on intelligent path planning algorithms and optimization techniques for robotic navigation. His work sits at the intersection of artificial intelligence and robotics engineering, addressing one of the field's most fundamental challenges: enabling robots to navigate complex environments safely and efficiently. Zghair's most recognized contribution is his 2022 work on intelligent hybrid path planning algorithms for autonomous mobile robots, which has garnered 20 citations and reflects growing scholarly interest in his research approach. This work tackles the critical problem of optimizing robot trajectories based on multiple competing criteria — including travel time, path distance, and obstacle avoidance — making it highly relevant to real-world robotic deployment scenarios. By developing hybrid algorithmic solutions that combine multiple intelligent methodologies, Zghair contributes to advancing the reliability and practicality of autonomous mobile robots in dynamic environments. His research holds significant implications for industries ranging from manufacturing automation to logistics and healthcare robotics. For students and researchers exploring AI-driven robotic navigation, Zghair's work offers a valuable foundation in understanding how hybrid computational strategies can overcome the limitations of single-method approaches to autonomous movement planning.