Sajjad Maznoor

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About

Dr. Sajjad Maznoor is a robotics researcher whose work centers on autonomous navigation, motion control, and path planning for mobile robots in complex, dynamic environments. His most-cited paper, “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 target while avoiding obstacles via the shortest feasible path. This contribution addresses a long-standing challenge in robotics: achieving real-time, efficient, and safe navigation when surroundings are unpredictable. By integrating mecanum wheel kinematics with dynamic obstacle avoidance, Dr. Maznoor’s work has practical implications for warehouse automation, service robots, and industrial logistics. His research bridges the gap between theoretical control systems and real-world deployment, making mobile robots more agile and reliable. With growing citation impact, Dr. Maznoor is establishing himself as a promising voice in intelligent robotics, particularly in the design of adaptive, wheeled platforms that can operate safely alongside humans. His ongoing efforts continue to push the boundaries of autonomous mobility.