Wilmer Gaona

Universidad Autónoma del Estado de Morelos

Papers

Total Citations

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About

Wilmer Gaona is a researcher at the forefront of cognitive robotics and artificial intelligence, focusing on how artificial agents can emulate basic cognitive abilities. His work centers on developing computational models that bridge perception, action, and anticipation, drawing inspiration from cognitive science and psychology. Gaona’s most cited paper, "Anticipation by multi-modal association through an artificial mental imagery process" (2014, 12 citations), introduces a novel model for anticipatory behavior using multi-modal off-line Hebbian association, advancing the role of mental imagery in AI. In "Distance Perception in Mobile Robots as an Emergent Consequence of Visuo-Motor Cycles Using Forward Models" (2012, 5 citations), he challenges traditional geometric approaches, showing how distance perception emerges from multimodal sensory integration—a key insight for autonomous navigation. His 2018 paper, "Cognitive Robotics: The New Challenges in Artificial Intelligence" (3 citations), outlines pressing directions for the field. Though his citation counts are modest, Gaona’s contributions are foundational for researchers exploring embodied cognition and bio-inspired robotics, offering elegant frameworks for building more adaptive, perceptive machines.