Cristina Gamallo

Universidade de Santiago de Compostela, Universidade da Coruña

Papers

Total Citations

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About

Cristina Gamallo is a robotics researcher whose work focuses on advancing mobile robot localization through multi-sensor fusion and vision-based systems. Her key research areas include autonomous navigation, sensor integration, and reinforcement learning for robotic behaviors. Gamallo’s most significant contribution is her 2009 paper on “Omnivision-based KLD-Monte Carlo Localization,” which has garnered 18 citations and demonstrates her expertise in probabilistic localization techniques using omnidirectional cameras. She further advanced the field by developing robust multi-sensor systems that combine low-cost GPS with visual localization, as shown in her 2013 and 2011 works, which achieved 7 and 4 citations respectively. These studies highlight her ability to enhance navigation precision and robustness by integrating complementary sensor modalities. Additionally, her 2007 paper on learning wall-following behavior through reinforcement learning and image-based states, though with 2 citations, showcases her early exploration of vision-driven autonomous learning. Gamallo’s work is particularly notable for its practical approach to overcoming sensor limitations, making her research valuable for students and engineers developing cost-effective, reliable navigation solutions for outdoor and indoor mobile robots.