Emmanuel Mendoza-Bock

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About

Emmanuel Mendoza-Bock is a leading voice in embodied cognitive robotics, where he investigates how artificial agents can learn and act autonomously through dynamic interaction with their environment. His work centers on the development of sensorimotor schemes—the foundational processes by which robots acquire cognitive skills not through pre-programmed instructions, but by actively exploring and adapting to their surroundings. His most-cited paper, “Embodied Cognitive Robotics and the learning of sensorimotor schemes” (2018, 18 citations), provides a pivotal framework for understanding how robots can bootstrap knowledge from sensory-motor experience, bridging gaps between developmental psychology, neuroscience, and artificial intelligence. By emphasizing the role of the body and its interactions in shaping cognition, Mendoza-Bock challenges traditional computational models and offers a more organic path toward autonomous learning. His contributions are especially valuable for researchers designing robots that must operate in unpredictable, real-world settings. With a growing citation footprint and a focus on foundational learning mechanisms, Mendoza-Bock is shaping the next generation of intelligent, adaptive machines.