Mohamed I. Owis
Papers
1
Total Citations
16
H-Index
1
About
Mohamed I. Owis is a robotics and control systems researcher whose work centers on the development of advanced trajectory tracking and autonomous navigation algorithms for unmanned aerial vehicles. His most notable contribution is the design and implementation of a Non-linear Model Predictive Control (NMPC) framework for quadrotors, which leverages the ACADO Toolkit and ROS to achieve highly accurate trajectory tracking. This work, published in 2019 and cited 16 times, demonstrates how MPC’s predictive capabilities can yield optimal control actions in real-time, addressing critical challenges in drone stability and precision. Owis’s research bridges the gap between theoretical control theory and practical robotic applications, with a strong emphasis on simulation-to-real-world deployment. His achievements include the successful integration of complex optimization solvers with ROS-based systems, making his methods accessible for further experimentation. For students and researchers in aerial robotics, Owis’s work provides a clear, implementable pathway to robust quadrotor control, highlighting the power of model predictive approaches in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1