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About

Fabio Tedone is a researcher at the forefront of bio-inspired robotics and plant biomechanics, whose work bridges the gap between biological growth strategies and engineered systems. His primary research areas include the mathematical modeling of sensory-growth systems, optimal control of plant root dynamics, and the development of self-growing robotic architectures. Tedone’s most significant contribution is the creation of a general 3D model for growth dynamics in sensory-growth systems, which has been applied from climbing plants to robotics—a work that has garnered 24 citations and established a foundational framework for the field. He has also advanced the understanding of plant root behavior through optimal control theory, modeling how roots navigate soil with minimal energy expenditure (15 citations). Additionally, Tedone has explored intra-plant communication using mathematical approaches, shedding light on how plants process environmental stimuli. His interdisciplinary approach, combining biology, mathematics, and robotics, has positioned him as a key figure in the emerging domain of plant-inspired growing robots, with potential applications in exploration, agriculture, and soft robotics.