Imam Agus Riandi
Papers
1
Total Citations
3
H-Index
1
About
Imam Agus Riandi is a robotics researcher whose work centers on computer vision and autonomous navigation for wheeled robots, with a particular focus on robot soccer. His most-cited paper, "Goal Detection and Opponent Avoidance Algorithm for Wheeled Robot Soccer using Color Filtering and Contour Extraction" (2018), introduces a robust yet computationally efficient algorithm that enables a robot to recognize and locate a goal while simultaneously avoiding opponents in real time. By leveraging color filtering and contour extraction from a single camera feed, Riandi’s approach simplifies complex visual processing, making it highly practical for resource-constrained robotic platforms. This work has garnered 3 citations, reflecting its niche but valuable contribution to the field of multi-agent robotics. Riandi’s research addresses fundamental challenges in autonomous decision-making and visual perception, offering a foundation for more advanced systems in competitive robotics. His contributions are particularly notable for their emphasis on simplicity and reliability, which are critical for real-world deployment in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1