Manuel Pardo

Universidad Autónoma del Estado de Morelos

Papers

Total Citations

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About

Manuel Pardo is a researcher at the intersection of embodied cognitive robotics and artificial life, exploring how autonomous agents learn, cooperate, and evolve. His work centers on two key areas: the development of sensorimotor schemes for cognitive robots and the emergence of altruistic behaviors in artificial populations. In his highly cited 2018 paper on embodied cognitive robotics, Pardo investigates how agents can autonomously learn through direct interaction with their environment, a foundational challenge for creating truly cognitive machines. More recently, his 2023 study on the evolution of kin discrimination mechanisms tackles the complex problem of altruism in heterogeneous robot populations, drawing inspiration from biological signaling systems. While his citation counts are still building—with his most recognized work garnering 18 citations—Pardo’s contributions are notable for bridging robotics with evolutionary theory, offering fresh perspectives on how cooperation can emerge without centralized control. His research holds promise for advancing autonomous systems capable of adaptive, socially intelligent behavior, making him a rising voice in the fields of cognitive robotics and evolutionary computation.