Mohammad Dika

American University of Science and Technology

Papers

Total Citations

H-Index

About

Mohammad Dika is an emerging researcher in autonomous systems and robotics, with a primary focus on control algorithms and real-time robotic coordination. His work centers on advancing the reliability and precision of self-driving vehicles and aerial robotic platforms. In his 2023 study on "Steering Control of Self-Driving Car Using Super-Twisting Sliding Mode Control," Dika explores the application of the Super-Twisting algorithm—an advanced variant of Sliding Mode Control (SMC)—to enhance steering stability in complex, nonlinear systems. This work, with 3 citations, contributes to the growing field of robust control for autonomous ground vehicles, a critical area for industrial manipulators and mobile robotics. More recently, in 2025, Dika published "Real-Time Drone System for Detecting, Tracking, and Following of a Mobile Robot in ROS/Gazebo," which integrates OpenCV-based object detection with drone navigation. This study, garnering 1 citation, demonstrates his ability to bridge computer vision and aerial robotics for surveillance and cooperative multi-robot tasks. By combining theoretical control methods with practical simulation environments like ROS/Gazebo, Dika is laying groundwork for safer, more responsive autonomous systems. His research holds promise for applications in security, logistics, and intelligent transportation, marking him as a rising contributor to the next generation of robotic autonomy.