Titiek Suheta
Papers
2
Total Citations
16
H-Index
2
About
Titiek Suheta is a researcher advancing the intersection of robotics, artificial intelligence, and biomedical sensing. Her primary research areas include autonomous robot navigation, artificial neural networks (ANNs), and non-contact health monitoring systems. Suheta’s most cited work, “Implementation of Artificial Neural Networks for Localization System on Rescue Robot” (2018, 12 citations), addresses a critical challenge in disaster response robotics: enabling mobile robots to accurately determine their position while navigating hazardous environments. This system helps rescue robots guide victims to safety along optimal paths, directly improving search-and-rescue efficiency. In response to the COVID-19 pandemic, Suheta developed a non-contact heart rate and temperature monitoring system using thermal imaging for security robots (2022, 4 citations). This innovation reduces physical contact during health screenings, minimizing infection risks for both operators and subjects. Her work demonstrates a practical, human-centered approach to robotics, combining neural network-based localization with contactless vital sign measurement. Suheta’s contributions are particularly valuable for developing autonomous systems that operate in high-risk scenarios, from disaster zones to pandemic response, showcasing how robotic technologies can enhance safety and healthcare delivery.
Research Focus
Key Achievements
Top Papers
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