Muhammad Farhan Manzoor

Papers

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About

Muhammad Farhan Manzoor is a researcher specializing in robotics, autonomous systems, and advanced control theory, with a particular focus on wheeled mobile robots and intelligent motion planning. His work centers on the application of Model Predictive Control (MPC) frameworks to solve complex real-world challenges in robot navigation and coordination. Manzoor's most notable contributions include pioneering the integration of MPC with feedback linearization techniques to address control and obstacle avoidance in unicycle-kinematics mobile robots. This approach provides robust guarantees for safe navigation in dynamic environments, a critical requirement for practical autonomous systems. Building on this foundation, his research extends to multi-robot coordination, where he employs distributed MPC strategies to optimize performance in constrained multi-agent systems — a challenging and highly relevant problem in modern robotics. His published works have collectively garnered nearly 10 citations, reflecting a growing recognition of his contributions within the robotics and control engineering community. His research is particularly valuable for students and engineers exploring the intersection of optimization-based control and autonomous mobile robotics, offering practical and theoretically grounded methodologies for designing intelligent, collision-free robotic systems.