A. Palomino

Universidad de Málaga, Benemérita Universidad Autónoma de Puebla

Papers

Total Citations

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About

A. Palomino is a robotics researcher whose work lies at the intersection of biologically inspired vision, human-robot interaction, and industrial automation. Their primary contributions focus on developing artificial attention mechanisms that enable robots—particularly social robots—to selectively process visual information, mimicking the efficiency of biological vision systems. This foundational work, detailed in their most cited paper “A Novel Biologically Inspired Attention Mechanism for a Social Robot” (18 citations), addresses the critical challenge of computational resource management in robotics by allowing machines to prioritize relevant sensory data. Palomino also advanced human-robot collaboration through the design of a teach pendant for ABB industrial robots (12 citations), opening proprietary architectures for broader research and educational use. Their broader research includes visual perception systems for social robots and perceptual organization techniques for landmark detection, demonstrating a sustained focus on making robots more perceptive and interactive. With a career spanning foundational attention models to applied industrial interfaces, Palomino’s work has influenced both social robotics and accessible automation platforms, offering practical tools for researchers and engineers working to build more intuitive, resource-aware robotic systems.