F. Afshan

About

F. Afshan is a researcher specializing in mobile robotics and autonomous navigation, with a particular focus on path planning algorithms for unmanned ground vehicles (UGVs). Their 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 comparative evaluation of bug algorithms for surveillance and military applications. This study examines key efficiency parameters such as travel distance and time in both known (global) and unknown environments, offering practical insights for deploying UGVs in real-world scenarios. By analyzing algorithm performance on a client-server architecture, Afshan contributes to the development of more reliable and efficient autonomous systems for security and reconnaissance missions. Their work bridges theoretical path planning with applied robotics, highlighting trade-offs between computational complexity and operational effectiveness. While their citation count reflects a focused niche, Afshan’s research lays groundwork for optimizing UGV navigation in constrained environments, valuable for students and engineers exploring autonomous surveillance technologies.

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

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Contact & Links