Papers

9

Total Citations

36

H-Index

4

About

Agusma Wajiansyah is an Indonesian researcher specializing in robotics, embedded systems, and intelligent control, with a focus on developing practical autonomous systems for real-world applications. His work spans mobile robotics, legged locomotion, and signal processing, reflecting a broad yet cohesive research agenda centered on making robots smarter and more capable. Among his most recognized contributions is his pioneering application of fuzzy logic control to line follower robots, employing the Mamdani inference method to achieve adaptive, intelligent navigation — work that has garnered 10 citations and remains a foundational reference in the field. He has also made notable strides in legged robotics, developing analytical modeling frameworks for hexapod legs and optimizing humanoid robot movement for competitive platforms. His investigations into multiprocessor embedded systems, including master-slave architectures using RS-485 communication, demonstrate a strong systems engineering perspective aimed at improving robot processing efficiency. Beyond hardware, Wajiansyah has explored voice command recognition through innovative signal segmentation techniques and refined PID controller tuning to mitigate integrator wind-up in motor-driven robots. With a cumulative citation count reflecting consistent engagement from peers, his research makes meaningful contributions to Indonesia's growing robotics research community, offering practical, implementable solutions that bridge theoretical concepts with engineering application.

Research Focus

Key Achievements

4
H-Index
9
Papers
36
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Implementasi Fuzzy Logic Pada Robot Line Follower
10 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Universitas 17 Agustus 1945 Samarinda, Politeknik Negeri Samarinda

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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