Diogo Santos Ortiz Correa

Papers

Total Citations

109

H-Index

About

Diogo Santos Ortiz Correa is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous navigation. His primary research areas include mobile robot perception, indoor navigation systems, and 3D object recognition using machine learning. Correa’s most influential contribution is his 2012 paper on “Mobile Robots Navigation in Indoor Environments Using Kinect Sensor,” which has garnered 107 citations—a testament to its lasting impact on the field of surveillance robotics. In this work, he developed a two-part perception system that combines reactive obstacle avoidance with sensor-based navigation, enabling robots to move autonomously in complex indoor settings. His later research explores 3D object recognition using artificial neural networks, addressing the growing need for intelligent systems that can interpret depth data from affordable sensors. Correa’s work is particularly notable for bridging low-cost hardware (such as the Kinect) with advanced algorithms, making autonomous navigation more accessible for real-world applications. His contributions continue to inform developments in service robotics, security, and human-robot interaction, offering a practical foundation for students and researchers interested in building smarter, more autonomous mobile systems.