Khalid K. Dandago

U.S. Air Force Institute of Technology, Kaduna Polytechnic

Papers

Total Citations

H-Index

About

Khalid K. Dandago is a researcher whose work lies at the intersection of robotics, control systems, and precision agriculture. His primary research areas include state estimation for robotic manipulators, trajectory tracking for autonomous agricultural vehicles, and the application of robust control techniques to real-world systems. Dandago’s major contributions are exemplified by his work on designing state estimators for pick-and-place robotic arms, where he developed robust models essential for accurate sensorless state observation—a critical advancement for modern automation. In the agricultural domain, he has pioneered the use of sliding mode control for ground robots, enabling precise trajectory tracking in precision farming to optimize food production amid global food security challenges. Though his most-cited papers have garnered modest citation counts (4 and 3 respectively), their impact is significant within specialized fields, addressing pressing issues like climate-resilient agriculture and efficient automation. Dandago’s research demonstrates a commitment to bridging theoretical control design with practical, high-impact applications in robotics and sustainable farming.