Riza Agung Firmansyah
Papers
6
Total Citations
31
H-Index
4
About
Riza Agung Firmansyah is an Indonesian researcher specializing in robotics, artificial intelligence, and embedded sensing systems, with a particular focus on rescue robotics, autonomous vehicles, and non-contact biomedical measurement. His work bridges intelligent navigation and real-world humanitarian applications, most notably in the development of localization systems for rescue robots operating in hazardous, visibility-impaired environments such as fire-stricken buildings. His most cited work (2018, 12 citations) demonstrates the use of Artificial Neural Networks to enable accurate robot localization — a critical capability for guiding disaster victims to safety. Firmansyah has also made meaningful contributions to health monitoring technology, developing thermal imaging-based systems capable of measuring body temperature, heart rate, and respiratory frequency without physical contact, research that gained particular relevance during the COVID-19 pandemic and earned multiple citations across two 2022 publications. His broader portfolio includes 3D room mapping using ROS and Kinect cameras, Haar-Cascade and Local Binary Pattern obstacle detection for Automatic Guided Vehicles, and neural network-based room pattern recognition. Collectively accumulating over 30 citations, his research reflects a consistent commitment to applying intelligent systems in safety-critical and socially impactful robotics contexts.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6