Papers

12

Total Citations

123

H-Index

4

About

Suat Karakaya is a robotics and autonomous systems researcher whose work spans mobile robotics, brain-computer interfaces, and human-machine interaction. His research focuses on developing practical, intelligent systems that bridge the gap between human intent and robotic action, with particular emphasis on indoor mobile robot platforms, sensor fusion, and obstacle avoidance. Karakaya's most impactful contribution is his 2017 work on a multi-sensor brain-computer interface for a robotic wheelchair, which has garnered 59 citations and represents a significant advance in assistive technology for individuals with mobility impairments. His development of a Mobile Robot Toolbox for MATLAB, cited 30 times, has proven especially valuable to the research community as an accessible educational and prototyping resource. Throughout his career, he has addressed core challenges in mobile robotics, including LIDAR-based obstacle detection, fuzzy logic-driven collision avoidance, image processing-based localization, and virtual-reality-assisted teleoperation. His mechanical design work on differential drive platforms further demonstrates a holistic, end-to-end approach to robotics research. Collectively, Karakaya's portfolio reflects a sustained commitment to building complete, deployable robotic systems, making him a notable contributor to applied robotics research and a valuable reference for students entering the field.

Research Focus

Key Achievements

4
H-Index
12
Papers
123
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of a Multi Sensor Based Brain Computer Interface for a Robotic Wheelchair
59 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Kocaeli Üniversitesi

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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