Prasad Cheema

Papers

Total Citations

H-Index

About

Prasad Cheema is a researcher whose work lies at the intersection of robotics, control systems, and computer vision, with a particular focus on accessible unmanned aerial vehicle (UAV) platforms. His most cited contribution, the 2016 paper "Development of a Control and Vision Interface for an AR.Drone" (7 citations), addresses a critical barrier in quadcopter research: the steep learning curve for interfacing with low-cost commercial drones. By creating a simplified, open interface for the popular AR.Drone platform, Cheema's work has enabled new researchers to bypass complex hardware challenges and focus directly on control algorithms and vision-based navigation. This foundational contribution has served as a practical gateway for students and early-career scientists entering the field of aerial robotics. While his citation count reflects the niche, applied nature of his work, the impact is significant in democratizing drone research—lowering the entry barrier to experimentation with autonomous flight, object tracking, and real-time visual processing. Cheema's research exemplifies how thoughtful engineering of interfaces can accelerate innovation across an entire field.