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About

Letizia Zullo is a leading researcher in bio-inspired robotics and embodied intelligence, whose work bridges the gap between cephalopod biology and soft robotic engineering. Her research focuses on understanding how the unique anatomy and motor control of octopuses can inspire novel robotic systems, particularly through the concept of embodiment—the dynamic coupling between control, materials, and environment. Her most cited paper, "Optical lace for synthetic afferent neural networks" (2019, 91 citations), introduces a groundbreaking tactile sensing platform for robots, mimicking the distributed touch perception of animals like octopuses. Zullo's contributions include designing soft continuum robotic arms that capture key features of octopus neurophysiology, as detailed in her 2016 work (31 citations). She has also explored the biomechanics and motor control of cephalopod limbs (2023, 25 citations), providing foundational models for soft robotics. Her interdisciplinary approach, combining biology, engineering, and art—exemplified in "Cephalopods Between Science, Art, and Engineering" (2018, 33 citations)—has made her a pivotal figure in developing bio-hybrid systems and embodied AI, with her work cited over 200 times and influencing fields from robotics to neuroscience.