Mohammed Almaged
Papers
2
Total Citations
38
H-Index
2
About
Dr. Mohammed Almaged is a leading researcher in robotics and autonomous systems, with a primary focus on industrial manipulator kinematics and intelligent navigation. His seminal work, "Forward and Inverse Kinematic Analysis and Validation of the ABB IRB 140 Industrial Robot" (2017, 27 citations), established a rigorous Denavit-Hartenberg framework for modeling six-axis robotic arms, providing foundational tools for robotics education and industrial automation. More recently, Dr. Almaged has advanced the field of autonomous mobile robotics through his 2024 publication on "Nonlinear Model Predictive Control-based Collision Avoidance for Mobile Robot" (11 citations). This work introduces a single-layer NMPC system that leverages LiDAR data to enable real-time navigation through cluttered environments with unknown static and dynamic obstacles—a critical capability for warehouse logistics and service robotics. His contributions bridge classical kinematic analysis with cutting-edge control theory, demonstrating both theoretical depth and practical applicability. Dr. Almaged’s research continues to shape how robots perceive and interact with complex, unstructured environments, making him a notable figure in contemporary robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2