Cipta Priambodo
Papers
2
Total Citations
7
H-Index
2
About
Cipta Priambodo is a robotics researcher specializing in humanoid robot soccer, with a focus on computer vision and localization for autonomous platforms. His primary research areas include visual perception, object detection, and spatial reasoning for humanoid robots operating in dynamic, competitive environments. Priambodo’s most notable contribution is his work on the EROS platform, where he developed methods to improve field and ball detection under the RoboCup’s reduced color-coding rules—a challenge that significantly impacts robot performance. His 2018 paper on this topic has garnered 5 citations, reflecting its relevance to the robotics community. He also introduced a two-step localization approach for humanoid soccer competitions (2021), enhancing robot positioning accuracy during matches. These contributions address critical bottlenecks in real-time robot vision and navigation, enabling more robust autonomy in adversarial settings. Priambodo’s work is particularly valuable for researchers and students in robotics, computer vision, and AI, as it demonstrates practical solutions to perception problems in unstructured environments. His achievements highlight the intersection of theoretical algorithms and real-world deployment in competitive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Two-Steps Approach of Localization in Humanoid Robot Soccer Competition2 citations · 2021