Munawar Agus Riyadi
Papers
6
Total Citations
60
H-Index
4
About
Munawar Agus Riyadi is a robotics researcher whose work focuses on developing intelligent automation solutions for healthcare, industrial, and service applications. His primary research areas include robot manipulator design, autonomous navigation, and multi-agent systems. Riyadi’s most impactful contribution is his 2022 study on a 4-DOF RPRR robot manipulator for pick-and-place tasks in healthcare environments, which has garnered 33 citations for addressing infection control through tele-robotics—a timely response to COVID-19. He has also advanced conflict-free route planning for multiple autonomous guided vehicles (AGVs) by proposing a hybrid Dijkstra-Floyd-Warshall algorithm with time windows, a key innovation in logistics optimization. His work extends to mobile robot navigation, where he experimentally validated path planning strategies combining Dijkstra and Follow-the-Carrot methods, and to fuzzy logic control for fire-fighting robots. Riyadi’s research demonstrates a consistent focus on practical, real-world robotics challenges, from RFID-based object classification to Bezier curve trajectory control, making him a notable contributor to the field of applied robotics and automation.
Research Focus
Key Achievements
Top Papers
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- 5Implementation of Fuzzy Logic on Fire Fighting Robots4 citations · 2021
- 6Speed control system in mobile robot based on Bezier curve trajectory3 citations · 2021