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About

Gabriella Teti is a robotics researcher whose work sits at the intersection of humanoid robotics, human-robot interaction, and biologically inspired control systems. Her research has made significant contributions to some of the most challenging problems in modern robotics, particularly in the areas of grasping and manipulation, personal robotics, and anticipatory perception-action mechanisms. Teti's early work laid important groundwork in humanoid manipulation, with her 2000 and 2002 papers on grasping systems accumulating 23 and 34 citations respectively, helping define the field's foundational challenges. Her most-cited contribution — a 2004 paper on "expected perception" (37 citations) — introduced a neuroscientifically grounded anticipation mechanism that enhances robots' perception-action loops, reducing sensory delays in real-world environments. This biologically inspired approach also underpins her work on neural controllers for robotic heads and sensory-motor coordination models. Beyond humanoids, Teti has advanced the concept of adaptable semi-autonomy and compliant control in personal robots designed to assist elderly and disabled individuals, addressing not only technical performance but also human acceptability. With over 200 cumulative citations across her key works, her research bridges fundamental neuroscience, mechanical design, and practical human-centered robotics — offering valuable reading for students exploring cognitive robotics or assistive technologies.