Papers

7

Total Citations

117

H-Index

6

About

Wahyu Rahmaniar’s research lies at the intersection of robotics, computer vision, and assistive technology, with a focus on enabling intelligent, autonomous systems to operate in complex, real-world environments. His most cited work, “Mobile Robot Path Planning in a Trajectory with Multiple Obstacles Using Genetic Algorithms” (38 citations), tackles the computational cost and adaptability of path planning, offering an optimal solution that allows robots to navigate dynamic obstacle fields efficiently. In aerial robotics, Rahmaniar has made significant contributions to UAV stabilization and localization, including an online digital image stabilization framework (19 citations) and a vision-based distance measurement system for GPS-denied indoor environments (10 citations). His commitment to inclusive technology is evident in the “Touchless Head-Control (THC)” system (17 citations), which enables cursor and orientation control through head gestures for individuals with disabilities, and a surface EMG game control interface (12 citations) designed for those with upper limb impairments. Rahmaniar’s work also extends to environmental monitoring, with a mobile robot for carbon monoxide detection (16 citations), and real-time sensor integration for aerial surveillance (5 citations). With over 117 total citations across his top papers, his research demonstrates a consistent drive to create practical, impactful solutions that bridge the gap between algorithmic innovation and real-world application.

Research Focus

Key Achievements

6
H-Index
7
Papers
117
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Robot Path Planning in a Trajectory with Multiple Obstacles Using Genetic Algorithms
38 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: National Central University, National Taipei University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago