Ahmet Arda Yuceler
Papers
1
Total Citations
8
H-Index
1
About
Ahmet Arda Yuceler is a researcher specializing in human-robot interaction, fuzzy logic systems, and gesture recognition technologies. His most cited work, "A rule based fuzzy gesture recognition system to interact with Sphero 2.0 using a smart phone" (2017), introduces an innovative approach that allows users to control a spherical robot through hand gestures performed with a smartphone, with the robot responding by imitating the user's movements. This study, which has garnered 8 citations, demonstrates Yuceler's expertise in combining fuzzy logic with gesture-based control systems to create intuitive and responsive human-robot interfaces. His research contributes to the broader field of interactive robotics, particularly in developing accessible and natural methods for non-expert users to engage with robotic platforms. Yuceler's work on gesture recognition and fuzzy logic has implications for educational robotics, assistive technologies, and entertainment applications, showcasing his ability to bridge theoretical concepts with practical implementations. His contributions highlight the potential of fuzzy rule-based systems in enhancing the adaptability and user-friendliness of robotic interactions.
Research Focus
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Top Papers
- 1