Marcos Gomes Prado

Papers

Total Citations

219

H-Index

About

Marcos Gomes Prado is a leading researcher in autonomous systems and mobile robotics, with a primary focus on intelligent vehicle navigation and perception for unstructured environments. His most influential work centers on developing robust navigation architectures for both indoor and semi-structured urban settings. Prado’s 2012 paper on using the Kinect sensor for indoor mobile robot navigation (107 citations) pioneered a cost-effective, reactive perception system that enables autonomous surveillance robots to avoid obstacles in real time. He further advanced the field through his architectural design of the CaRINA intelligent robotic car (100 citations), a landmark project that integrated sensor fusion and control algorithms for autonomous driving. His 2013 study on autonomous vehicle navigation in semi-structured urban environments (12 citations) addressed critical challenges in handling dynamic, real-world road conditions. Prado’s contributions have significantly influenced the development of practical, low-cost navigation solutions, bridging the gap between laboratory prototypes and real-world autonomous vehicles. His work remains essential reading for researchers and students exploring mobile robot autonomy, sensor-based navigation, and intelligent transportation systems.