Hendra Ari Winarno
Papers
2
Total Citations
27
H-Index
2
About
Hendra Ari Winarno’s research centers on robotics, embedded systems, and computer vision, with a particular focus on sensor integration for autonomous navigation. His most notable contribution is the development of a two-wheeled robot capable of following colored objects using the Pixy 2 CMUcam5 camera sensor. This work demonstrates a practical, low-cost approach to real-time object detection and tracking, where the Pixy 2 learns to recognize objects with a simple button press—eliminating the need for complex programming. The two related papers on this topic have accumulated 27 citations, reflecting their utility in educational and prototyping contexts. Winarno’s achievement lies in bridging the gap between advanced vision algorithms and accessible hardware, making robotic vision more approachable for students and hobbyists. His work is particularly valuable for those exploring autonomous systems, offering a clear example of how off-the-shelf sensors can be deployed for responsive, color-based tracking. By simplifying the integration of vision into mobile robotics, Winarno has contributed a foundational resource for researchers and engineers building entry-level autonomous platforms.
Research Focus
Key Achievements
Top Papers
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- 2