Afraz Hussain Majeed

Papers

Total Citations

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About

Dr. Afraz Hussain Majeed is a leading researcher in robotics and autonomous systems, with a primary focus on mobile robot navigation, path planning, and control in complex, dynamic environments. His most-cited work, “Real-time navigation of mecanum wheel-based mobile robot in a dynamic environment” (2024, 18 citations), introduces a novel algorithm that enables a mecanum-wheeled robot to autonomously reach a goal while avoiding obstacles via the shortest possible path. This contribution is significant for its real-time adaptability and precision in unpredictable settings, addressing a longstanding challenge in robotics. Dr. Majeed’s research bridges theoretical control systems with practical implementation, advancing the capabilities of omnidirectional mobile robots for industrial and service applications. His work has garnered attention for its innovative approach to integrating sensor feedback and optimization, making it a valuable resource for students and engineers developing next-generation autonomous vehicles. With a growing citation record, Dr. Majeed continues to influence the field of robotics, particularly in enhancing the efficiency and safety of mobile robots in real-world scenarios.