About

Helmy Widyantara is an Indonesian researcher whose work sits at the intersection of robotics, sensor systems, and embedded intelligence, with a particular focus on olfactory mobile robots and autonomous navigation. His most significant contributions center on enabling robots to detect, track, and localize gas and odor sources in complex environments — a challenge with critical implications for industrial safety and hazardous materials response. His 2012 work on implementing analog neural networks via Field Programmable Analog Arrays (FPAA) for electronic nose systems demonstrated early innovation in hardware-based pattern recognition, garnering 16 citations. Building on this foundation, Widyantara developed wind direction sensors and integrated them with gas-sensing mobile robots, producing influential studies on gas source localization that have collectively attracted over 25 citations. His research extends into multi-robot formation planning and, more recently, IoT-enabled healthcare robotics, including a COVID-19 logistic robot designed to reduce nurse-patient contact. Across these domains, Widyantara demonstrates a consistent drive to translate sensing and embedded systems research into practical, life-saving applications, making his work valuable reading for students interested in robotics, environmental monitoring, and human-robot interaction.

Research Focus

Key Achievements

4
H-Index
6
Papers
51
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Implementation Analog Neural Network for Electronic Nose using Field Programable Analog Arrays (FPAA)
16 citations · 2012
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Sepuluh Nopember Institute of Technology, Telkom Institute of Management, Institut Sains dan Teknologi Terpadu Surabaya

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago