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About

Alessandra Tafuro is a robotics researcher whose work sits at the intersection of agricultural automation and intelligent manufacturing. Her primary research areas include robotic manipulation, motion planning, and perception systems for both precision agriculture and industrial finishing tasks. Tafuro’s most influential work focuses on strawberry harvesting robotics, where she developed a system for localizing picking points and estimating fruit ripeness and weight—a contribution that has garnered 30 citations and addresses critical labor shortages in fruit production. She further advanced this field with dPMP (Deep Probabilistic Motion Planning), a novel approach that extends deterministic learning from demonstration models to probabilistic trajectory generation for harvesting robots. In the manufacturing domain, Tafuro has tackled complex industrial challenges, including autonomous polishing of free-form surfaces and intelligent robotic deburring, where she integrates self-supervised vision systems with adaptive path planning. Her 2024 paper on robotic polishing proposes a solution for real-world industrial settings with imperfect surface reconstruction. With a growing citation impact across her publications, Tafuro is establishing herself as a versatile roboticist bridging agricultural and industrial automation through innovative perception and planning algorithms.