M. Granados-Contreras

Universidad Autónoma del Estado de Morelos

Papers

Total Citations

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About

M. Granados-Contreras is a researcher in robotics and computer vision, with a focus on autonomous navigation and intelligent perception systems. Their work centers on developing hybrid approaches that integrate sensor fusion and vision-based object detection to enable mobile robots to operate effectively in unknown environments. A key contribution is their 2015 paper, "Hybrid Object Detection Vision-Based Applied on Mobile Robot Navigation," which proposed a novel system combining infrared distance measurement with visual data to achieve low-latency object detection and avoidance. This work, cited 3 times, demonstrates their practical approach to real-time robotic control and sensor integration. Granados-Contreras' research addresses fundamental challenges in autonomous navigation, particularly the need for robust, computationally efficient solutions that allow robots to perceive and react to their surroundings without pre-mapped environments. Their contributions are valuable for students and researchers exploring embedded vision systems, sensor fusion, and the intersection of hardware and software in mobile robotics.