Muhammad Furqon Siregar

Universitas Sumatera Utara

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

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of Fuzzy Logic Method for Load Lifting Robot
6 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Universitas Sumatera Utara

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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