Papers

3

Total Citations

20

H-Index

3

About

Antonio Carlos Bento is a researcher focused on the practical applications of the Internet of Things (IoT) and embedded systems, with a particular emphasis on educational robotics and home automation. His work demonstrates how accessible hardware platforms like Arduino Uno and NodeMCU12e can be leveraged to create functional, real-world IoT solutions. Bento’s major contributions include pioneering low-cost, radio-frequency-based data transmission methods, as evidenced by his study on integrating the NRF24L01 transceiver with the NodeMCU12e for robust signal communication. His most cited paper, "Internet of Things: An Experiment with Residential Automation for Robotics Classes" (2019, 9 citations), showcases a browser-controlled lighting system designed to teach robotics principles through hands-on automation. With a total of 20 citations across his top three works, Bento’s research has practical impact in engineering education, providing students with tangible, project-based learning experiences. His work stands out for bridging the gap between theoretical IoT concepts and accessible, classroom-ready implementations, making him a notable contributor to the field of applied IoT and STEM pedagogy.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Internet of Things: An Experiment with Residential Automation for Robotics Classes
9 citations · 2019
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: Pontifícia Universidade Católica de São Paulo

Top Papers

  1. 1
  2. 2
  3. 3
    Internet of Things
    5 citations · 2018

Contact & Links

Available for collaboration
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