Maaz Mohammed Butt
Papers
1
Total Citations
2
H-Index
1
About
Maaz Mohammed Butt is a researcher specializing in autonomous systems, unmanned aerial vehicle (UAV) guidance, and trajectory optimization, with a focus on enhancing the safety and reliability of robotic air vehicles in real-world conditions. His most cited work, "4D Trajectory Generation for Guidance Module of a UAV for a Gate-to-Gate Flight in Presence of Turbulence" (2016), introduces an offline algorithm that integrates navigation models to generate robust, four-dimensional trajectories for UAVs operating in turbulent environments. This contribution addresses critical challenges in the delivery and safety-of-life applications of robotic air vehicles, offering a pathway toward more resilient autonomous flight. While his citation count currently stands at 2, the work reflects a foundational effort in trajectory planning under dynamic disturbances, laying groundwork for future advancements in UAV guidance systems. Butt’s research bridges theoretical modeling and practical implementation, underscoring his commitment to solving real-world problems in aerial robotics. His achievements highlight a promising trajectory in the field of autonomous vehicle navigation and control.
Research Focus
Key Achievements
Top Papers
- 1