A. Mendoza

Papers

Total Citations

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About

A. Mendoza is a robotics researcher specializing in sensor fusion and autonomous systems, with a particular focus on lightweight aerial platforms. Their most impactful work, "Sensor Fusion Image Processing for Autonomous Robot Blimps" (2023, 7 citations), introduces an innovative approach to goal detection in competitive robotics. Mendoza developed a flash-and-frame-differencing method that uses a flashing light source combined with image processing to reliably identify targets while eliminating false positives—a critical challenge in real-world autonomous navigation. This technique, demonstrated in the "Defend the Republic" robot competition, enables accurate distance estimation and goal localization for autonomous blimps operating in dynamic environments. Mendoza’s contributions bridge computer vision and sensor integration, offering practical solutions for resource-constrained aerial robots. Their work has immediate applications in search-and-rescue, environmental monitoring, and educational robotics competitions. By addressing fundamental perception challenges in unconventional platforms, Mendoza continues to advance the frontier of autonomous systems, inspiring new approaches to robust, low-cost robotic navigation.