Muhammad Mukhtarul Lathief
Papers
1
Total Citations
3
H-Index
1
About
Muhammad Mukhtarul Lathief is a robotics researcher specializing in computer vision, autonomous navigation, and real-time embedded systems for mobile robots. His work focuses on enhancing the perceptual capabilities of soccer-playing robots, particularly through the integration of the Robot Operating System (ROS) to accelerate vision processing. In his most cited paper, "Improvement of the Processing Speed of The Robot’s Vision System Using Robot Operating System" (2021, 3 citations), Lathief demonstrates how ROS-based architectures can significantly reduce latency in ball detection, obstacle avoidance, and goal targeting for the ERSOW robot platform. This contribution addresses a critical bottleneck in autonomous robotics: the trade-off between sensor data accuracy and processing speed. By optimizing vision pipelines, his research enables robots to make faster, more reliable decisions during dynamic gameplay. Lathief’s work is notable for its practical application in competitive robotics, where split-second responses determine success. His achievements reflect a deep understanding of both hardware-software integration and the demands of real-world autonomous systems, making his research valuable for students and engineers developing efficient, low-latency robotic vision systems.
Research Focus
Key Achievements
Top Papers
- 1