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About

Sara Sillaurren is a researcher specializing in Human-Robot Collaboration (HRC), with a particular focus on trust modeling, hybrid automation environments, and human-centric manufacturing systems. Her work sits at the intersection of robotics, cognitive science, and industrial engineering, addressing some of the most pressing challenges in deploying collaborative robots alongside human workers. Sillaurren's most impactful contribution examines the multidimensional nature of trust in HRC environments, exploring how it can be modeled and measured to improve collaboration outcomes — a paper that has garnered 21 citations and established her as a thoughtful voice in this emerging field. Her involvement in the European HR-Recycler project further demonstrates her applied research credentials, contributing to the design of a hybrid human-robot recycling system for electrical and electronic equipment (16 citations). More recently, she has expanded her scope to include robot learning from teleoperated demonstrations for construction applications and edge-computing frameworks aligned with Industry 5.0 principles, emphasizing operator well-being and real-time physiological monitoring. Across her body of work, Sillaurren consistently champions human-centric approaches to automation, making her research highly relevant for engineers, designers, and policymakers shaping the future of collaborative workplaces.