Muhammad Nauman Rafiq

About

Dr. Muhammad Nauman Rafiq is a distinguished researcher in the fields of robotics, autonomous navigation, and path planning algorithms. His most-cited work, "Performance Analysis of Different Optimal Path Planning Bug Algorithms on a Client Server Based Mobile Surveillance UGV" (2013, 7 citations), provides a foundational comparative study of bug algorithms for unmanned ground vehicles (UGVs) in surveillance and military applications. This research critically evaluates efficiency parameters such as travel distance and time in both known (global) and unknown environments, offering key insights into optimizing mobile robot navigation. Dr. Rafiq’s contributions advance the practical deployment of autonomous systems, particularly in client-server architectures for real-time surveillance. His work is notable for bridging theoretical path planning with real-world UGV performance, influencing subsequent studies in mobile robotics. With a focus on improving operational efficiency in complex terrains, Dr. Rafiq continues to impact the development of intelligent, autonomous systems for security and defense.

Research Focus

Key Achievements

Top Papers

1. 1
   Performance Analysis of Different Optimal Path Planning Bug Algorithms on a Client Server Based Mobile Surveillance UGV

   7 citations · 2013

Key Collaborators

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