Arif Rahman
Papers
1
Total Citations
4
H-Index
1
About
Arif Rahman is a researcher whose work sits at the intersection of robotics, artificial intelligence, and information science. His early contributions include the development of a "Colored Ball Position Tracking Method for Goalkeeper Humanoid Robot Soccer" (2013), a technical innovation that advanced computer vision applications in autonomous robotics. This foundational work has garnered 4 citations and demonstrates his ability to solve real-time perception challenges in dynamic environments. Building on this expertise, Rahman has since expanded his focus to address a critical modern concern: information trustworthiness in the digital age. Recognizing Indonesia's position as a country with one of the highest numbers of internet users, he has investigated methods for assessing the reliability of online information resources. His research bridges the gap between physical robotics and digital information systems, offering practical solutions for ensuring dependable data in an era of information overload. Rahman's work is particularly relevant for students and researchers interested in how AI and sensor-based tracking can be repurposed to tackle pressing societal challenges, from autonomous systems to combating misinformation.
Research Focus
Key Achievements
Top Papers
- 1