Rohmad Rifai
Papers
1
Total Citations
2
H-Index
1
About
Rohmad Rifai is a robotics researcher specializing in autonomous systems and computer vision, with a particular focus on robot soccer applications. His work centers on developing precise positioning estimation techniques for autonomous robots operating in dynamic, competitive environments. In his most-cited paper, "Vision-Based Positioning Estimation on the ERSOW Robot Soccer by Utilizing Unique Landmarks in the Field with a Computational Process using GPU," Rifai introduces an innovative approach that leverages unique field landmarks and GPU-accelerated computation to enhance the localization accuracy of the ERSOW soccer robot—a platform developed at the Surabaya State Electronics Polytechnic for the Indonesian Wheeled Soccer Robot Contest (KRSBI Wheeled). This contribution addresses a critical challenge in autonomous robotics: real-time, reliable self-localization under the constraints of fast-paced gameplay. While his citation count is currently modest, Rifai's work represents a foundational step in integrating vision-based systems with parallel processing for improved robotic performance. His research has direct implications for advancing autonomous navigation in competitive robotics, and his ongoing efforts contribute to the broader field of intelligent systems and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1