Tri Arief Sardjono
Papers
10
Total Citations
51
H-Index
4
About
Tri Arief Sardjono is an Indonesian researcher whose work spans robotics, computer vision, and biomedical signal processing, with a particular focus on autonomous soccer robot systems. He has made significant contributions to the field of wheeled and humanoid robot soccer, developing innovative algorithms for real-time ball detection and tracking using fish-eye and omni-directional cameras, as evidenced by his most-cited work on visual ball tracking (15 citations) and goalkeeper robot navigation. His research extends into robot self-localization, leveraging Convolutional Neural Networks (CNN) and visual field modeling to enable accurate positional awareness in dynamic environments. Beyond robotics, Sardjono has explored biomedical instrumentation, including EMG signal analysis for laryngeal muscle activity — addressing communication challenges for laryngectomy patients — and 3D spatial modeling using RGB-D cameras and RTAB-Map technology. His more recent work demonstrates a broadening research vision, incorporating LiDAR-based body orientation classification and optimized speech recognition using Mel-Frequency Cepstral Coefficients. With a citation portfolio reflecting consistent productivity across interdisciplinary domains, Sardjono represents a versatile engineering researcher whose contributions meaningfully advance intelligent robotics and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ball Position Estimation in Goal Keeper Robots Using Neural Network7 citations · 2020
- 3Motion planning simulator for holonomic robot soccer platform6 citations · 2017
- 4
- 5Pengembangan Instrumentasi dan Analisis Sinyal EMG pada Otot Leher4 citations · 2020
- 6
- 7
- 8Robot Orientation Estimation Based on Single-Frame of Fish-eye Image3 citations · 2020
- 9
- 10