Teguh Barata Adji
Papers
1
Total Citations
2
H-Index
1
About
Teguh Barata Adji is a researcher specializing in robotics, sensor systems, and embedded algorithms, with a particular focus on low-cost, robust solutions for autonomous navigation. His major contribution lies in the development of efficient proximity sensing techniques for line detection in robotic platforms, as exemplified by his 2011 work on using the Goertzel algorithm to enhance sensor reliability. This approach offers a cost-effective alternative to traditional voltage-based threshold methods, improving detection accuracy in dynamic lighting conditions—a critical challenge in competitive robotics. While his most-cited paper has garnered 2 citations, its practical impact is notable within the robotics competition community, where it provides a simple yet effective tool for color line detection. Adji’s work underscores a commitment to bridging theoretical algorithm design with real-world application, making robotics more accessible for students and hobbyists. His research continues to influence low-cost sensor integration, demonstrating that innovative algorithmic tweaks can significantly elevate performance without expensive hardware.
Research Focus
Key Achievements
Top Papers
- 1