Muhammad Irshad Zahoor
Papers
1
Total Citations
8
H-Index
1
About
Muhammad Irshad Zahoor is a researcher focused on the control and trajectory planning of unmanned aerial vehicles (UAVs), with a particular emphasis on quadrotor systems. His most-cited work, "Computationally efficient algorithm to generate a waypoints-based trajectory for a quadrotor UAV" (2018, 8 citations), addresses a critical challenge in UAV autonomy: reducing the complex dynamical burden of quadrotors by designing dynamically feasible and computationally fast trajectories. In this study, Zahoor proposes a waypoints-based trajectory generation algorithm that leverages linear interpolation to simplify path planning while maintaining flight stability. This contribution is especially valuable for real-time applications where onboard computational resources are limited. By focusing on efficiency and feasibility, his work supports the broader adoption of quadrotors in tasks such as surveillance, delivery, and environmental monitoring. Zahoor’s research demonstrates a practical approach to bridging the gap between theoretical control algorithms and real-world UAV deployment, making his findings relevant for both academic researchers and industry engineers working on autonomous aerial systems.
Research Focus
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Top Papers
- 1