Papers

3

Total Citations

61

H-Index

3

About

Darmawan Setia Rahayu is a researcher whose work sits at the intersection of robotics, intelligent control systems, and nonlinear dynamics. His research focuses on applying advanced computational intelligence techniques — particularly Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Artificial Neural Networks (ANN) — to real-world robotic applications, alongside contributions to chaotic systems theory and secure communications. Among his most recognized contributions is his development of ANFIS-based control for a 5-DoF robotic arm capable of detecting and sorting colored objects using image processing and Arduino microcontrollers, a paper that has garnered 26 citations and demonstrates practical integration of soft computing with embedded systems. His work on colored object sorting using ANN methods further reinforces this research thread, highlighting his commitment to automating industrial pick-and-place tasks. Notably, his 2016 paper introducing a novel 3-D jerk chaotic system — cited 24 times — showcases his versatility, extending his expertise into chaos theory and its applications in secure communication and mobile robot navigation. Together, these contributions reflect a researcher bridging theoretical computational methods with tangible engineering solutions, making his work valuable to students and professionals in robotics, automation, and applied intelligent systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
61
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method
26 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Bandung Institute of Technology, Sunan Gunung Djati State Islamic University Bandung

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago