Gabriele Bolano
Papers
8
Total Citations
119
H-Index
5
About
Gabriele Bolano is a robotics researcher whose work sits at the intersection of human-robot interaction (HRI), augmented reality (AR), and robot transparency. His research addresses one of the central challenges in modern collaborative robotics: enabling humans and robots to share workspaces safely, intuitively, and effectively. Bolano has made particularly notable contributions to making robot behavior legible to human collaborators, pioneering the use of visual, acoustic, and augmented reality feedback to communicate dynamic robot replanning in real time — work that has collectively earned over 60 citations across his two most influential papers from 2018 and 2019. Beyond transparency, Bolano has expanded his research into virtual reality-based robot programming, multimodal communication strategies, gesture control, and speech interaction frameworks, demonstrating a broad commitment to lowering the technical barriers between humans and robotic systems. His 2020 study on VR-based offline programming reflects a practical drive to make robotics accessible to non-expert operators, while his AR-assisted logistics planning work highlights real-world industrial applicability. With over 110 total citations across his published work, Bolano's contributions represent a meaningful body of research shaping how humans and robots will intuitively collaborate in factories, service environments, and beyond.
Research Focus
Key Achievements
Top Papers
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