Agus Prayudi
Papers
1
Total Citations
5
H-Index
1
About
Agus Prayudi is a researcher advancing the intersection of robotics and educational technology, with a focus on wireless control systems and IoT integration. His most cited work, "Wireless Edge Controller for Robot Education Using MQTT on Dobot Magician Lite" (2024, 5 citations), introduces a novel approach to enhancing hands-on learning in robotics by leveraging the Message Queuing Telemetry Transport (MQTT) protocol. This contribution enables real-time, low-latency communication between edge devices and robotic platforms, making complex robotics concepts more accessible to students. Prayudi’s research addresses key challenges in educational robotics, such as scalability, cost-effectiveness, and user-friendly interfaces, while promoting practical skill development. His work has been recognized for its potential to transform STEM education by bridging theoretical knowledge with applied engineering. With a growing citation impact, Prayudi continues to explore how edge computing and wireless technologies can democratize robotics education, empowering learners to engage with cutting-edge tools in interactive and intuitive ways.
Research Focus
Key Achievements
Top Papers
- 1