Ahmad Imam Bardani

Universitas Ahmad Dahlan

Papers

1

Total Citations

7

H-Index

1

About

Ahmad Imam Bardani is a researcher whose work bridges robotics, automation, and sensor technology, with a particular focus on enhancing the performance of artistic robots in competitive environments. His key research areas include color detection systems, robotic control, and the integration of sensors for autonomous navigation. Bardani’s most notable contribution is his work on the "Deteksi Zona pada KRSTI dengan Sensor Warna TCS3200," where he addressed a critical challenge in the Kontes Robot Seni Tari Indonesia (KRSTI)—the inability of the Lanange Jagad dance robot to distinguish color zones on the arena floor, causing mismatched dance movements. By implementing the TCS3200 color sensor, he enabled precise zone detection, allowing the robot to perform choreographed routines accurately. This innovation, cited 7 times, demonstrates his impact on practical robotics applications, particularly in cultural and artistic contexts. Bardani’s work exemplifies how sensor-based automation can solve real-world problems, making him a valuable contributor to the field of robotics and sensor integration.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Deteksi Zona pada KRSTI dengan Sensor Warna TCS3200
7 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Universitas Ahmad Dahlan

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago