Nerea Toledo

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About

Nerea Toledo is a leading researcher in Human–Robot Collaboration (HRC), with a focused expertise on the critical role of trust in shared human-robot workspaces. Her major contribution lies in systematically deconstructing trust as a multi-dimensional construct, moving beyond simple definitions to propose concrete models for its measurement. Her most-cited work, "Modelling and Measuring Trust in Human–Robot Collaboration" (2024), has already garnered 21 citations, reflecting the field's urgent need for her foundational framework. By analyzing the specific factors that influence each dimension of trust, Toledo provides engineers and roboticists with practical tools to design more effective and safer collaborative systems. Her research is pivotal for advancing industrial automation and assistive robotics, where reliable human-robot interaction is paramount. Toledo’s work stands out for bridging theoretical trust models with actionable measurement techniques, establishing her as a key voice in the future of collaborative robotics.