Adil Farooq
Papers
5
Total Citations
93
H-Index
5
About
Adil Farooq is a robotics researcher whose work spans autonomous aerial systems, affordable industrial manipulators, and STEM education. His most impactful contributions focus on integrating artificial intelligence with cyber-physical systems, particularly for micro-aerial vehicles. His top-cited paper (2022, 32 citations) presents deep learning models for attitude estimation and feature matching to counter cyber-attacks in robotic applications, demonstrating how neural networks can enhance cybernetic security. Farooq also addresses practical automation challenges through low-cost robotic solutions, including a 4-DOF SCARA manipulator for pick-and-place tasks (24 citations) and a solar-powered manipulator mounted on an unmanned ground vehicle (11 citations). His work on UAV autonomous exploration for search and rescue missions, recognized through the ICUAS 2022 competition (16 citations), showcases perception-aware frameworks for vision-based target detection and collision avoidance. Beyond technical development, Farooq explores robotics' role in education, examining how competitive challenges and hands-on activities can foster STEM learning (10 citations). His research portfolio reflects a commitment to making robotics both secure and accessible, bridging advanced AI techniques with real-world, cost-effective implementations.
Research Focus
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Top Papers
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