Papers
3
Total Citations
61
H-Index
3
About
Umar Zangina is a robotics and automation researcher whose work sits at the intersection of agricultural engineering and intelligent control systems. His most impactful contribution, "Agricultural rout planning with variable rate pesticide application in a greenhouse environment" (2021, 31 citations), addresses a critical challenge in precision agriculture: optimizing autonomous spray trajectories to reduce chemical waste while maximizing crop coverage. This work demonstrates how robotics can transform traditional farming into a data-driven, sustainable practice. Zangina has also made significant strides in mobile robot control, particularly for differential drive platforms and two-wheeled inverted pendulum (TWIP) robots. His 2020 paper on non-linear PID controllers for trajectory tracking (17 citations) provides a robust solution for navigating difficult terrains, while his 2019 work on fuzzy model-based velocity control for TWIP robots (13 citations) introduces advanced Takagi-Sugeno fuzzy logic and non-parallel distributed compensation techniques to achieve stable balancing and precise motion. Collectively, Zangina’s research bridges theoretical control engineering with real-world applications, offering practical frameworks for autonomous systems in agriculture and beyond. His work is essential reading for students and researchers interested in the future of field robotics and intelligent automation.
Research Focus
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