Papers
14
Total Citations
459
H-Index
9
About
Ilaria Gori is a prominent researcher at the intersection of robotics, artificial intelligence, and human-robot interaction, whose work has substantially advanced our understanding of how machines can perceive, communicate, and cooperate with humans in real-world environments. Gori's most influential contribution is the BWIBots platform (2017, 115 citations), a multi-robot system designed to bridge the gap between AI research and practical service robotics, enabling complex task execution in open, unstructured environments. Complementing this, her work on real-time action recognition using sparse representations (81 citations) demonstrates her commitment to computationally efficient, deployable solutions. Her research into human-robot cooperation is particularly distinguished — exploring how language, gaze, and shared planning enable seamless collaboration between robots and naïve human partners (53 and 33 citations respectively). Gori has also made meaningful contributions to robot perception, including first-person RGB-D activity recognition (52 citations), 3D grasping of unknown objects, and stereo vision-based eye-hand coordination in humanoid systems. Together, these works reflect a remarkably cohesive research vision: equipping robots with the perceptual, motor, and social intelligence necessary to function as genuine collaborative partners. With over 400 cumulative citations, Gori's portfolio represents a vital body of work for students studying embodied AI and social robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Keep It Simple and Sparse: Real-Time Action Recognition81 citations · 2017
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- 4Robot-centric Activity Recognition from First-Person RGB-D Videos52 citations · 2015
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- 6Three-finger precision grasp on incomplete 3D point clouds33 citations · 2014
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- 9
- 10All gestures you can: A memory game against a humanoid robot8 citations · 2012