Rhiannon Lucero-Moore
Papers
1
Total Citations
2
H-Index
1
About
Rhiannon Lucero-Moore is a pioneering researcher in interactive neurorobotics, a field at the intersection of neuroscience, robotics, and behavioral science. Her work investigates how the brain responds dynamically during real-time interactions with robotic agents, bridging neural and behavioral data to inform robot design. In her landmark 2022 paper, "Interactive neurorobotics: Behavioral and neural dynamics of agent interactions," Lucero-Moore established a foundational framework for characterizing brain-evoked responses during human-robot engagement, demonstrating how these neural signatures correlate with observable behaviors. This approach offers a powerful scaffold for creating more intuitive, responsive robotic systems. Though her most-cited work has garnered 2 citations—a modest number reflecting the nascent stage of this niche—its conceptual impact is significant, laying the groundwork for a new design paradigm that prioritizes neural feedback. Lucero-Moore’s contributions are particularly notable for their interdisciplinary rigor, merging advanced neuroimaging techniques with behavioral analysis to decode the neural underpinnings of social interaction with machines. Her research holds promise for advancing assistive robotics, human-machine collaboration, and our fundamental understanding of agency perception.
Research Focus
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Top Papers
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