Muhammad Furqon Siregar
Papers
2
Total Citations
8
H-Index
2
About
Muhammad Furqon Siregar is a robotics researcher whose work focuses on integrating intelligent control systems and accessible mobile platforms to enhance robotic functionality. His key contributions lie in the application of fuzzy logic for adaptive load handling and the development of Android-based remote control systems for robotic manipulation. His most cited work, "Analysis of Fuzzy Logic Method for Load Lifting Robot" (2019, 6 citations), presents a novel approach where fuzzy logic processes variable load weights to optimize motor power, significantly improving the reliability and efficiency of lifting robots. This work demonstrates a practical solution to a common challenge in industrial automation. Additionally, his 2017 paper on utilizing Android devices as controllers for cube-moving robots (2 citations) showcases his commitment to democratizing robotics by leveraging ubiquitous smartphone technology and Bluetooth communication. By bridging theoretical control methods with real-world, low-cost implementations, Siregar’s research offers valuable insights for students and engineers seeking to build smarter, more accessible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Analysis of Fuzzy Logic Method for Load Lifting Robot6 citations · 2019
- 2