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About

V. Tagliasco is a pioneering researcher whose career spans the intersection of robotics, computer vision, and human-robot interaction, with foundational contributions that have shaped how machines perceive and engage with the world. Beginning in 1980, Tagliasco's work on anthropomorphic robotics and the development of a retina-like structure for scene analysis established an early and influential framework for biologically inspired machine perception. The retina-like architecture paper alone has garnered 187 citations, reflecting its lasting relevance to the field of computational vision. Alongside this, dual contributions to anthropomorphic robotics — accumulating over 165 citations combined — demonstrate a sustained commitment to designing robotic systems modeled on human form and function. Tagliasco's research evolved meaningfully over the decades, moving from hardware-oriented biomimicry toward the psychological and social dimensions of robotics. The 2004 paper on motivation-based robots signaled a deeper interest in autonomous, drive-governed behavior, while a 2018 collaboration on humanizing human-robot interaction — cited 134 times — brought Tagliasco's perspective into the contemporary discourse on Industry 4.0 and mutual understanding between humans and machines. Across four decades, this body of work reflects a coherent and forward-thinking vision of robots as genuinely human-centered systems.