Marisa Bucolo
Papers
1
Total Citations
2
H-Index
1
About
Marisa Bucolo is a leading researcher in human-robot interaction, with a particular focus on developing intuitive, non-verbal communication channels between humans and autonomous systems. Her work centers on zoomorphic and gestural communication, exploring how robots can use biologically inspired movements and postures to convey intent, status, and emotion—making collaboration with machines more natural and accessible. Her most-cited paper, "Development and evaluation of zoomorphic gestural communication on a spot quadruped robot" (2025), addresses a critical gap in bi-lateral communication: while much research has focused on how humans command robots, Bucolo’s work investigates how robots can actively signal their own internal states to human partners. This contribution is foundational for the safe and effective adoption of robotics in both industrial and consumer settings. Though early in her citation trajectory, her research is already shaping how the field thinks about robot expressiveness and trust. Bucolo’s work stands out for its emphasis on designing communication that is intuitive, scalable, and grounded in natural behavior—a key step toward truly collaborative human-robot teams.
Research Focus
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Top Papers
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