Shannon Yasuda

Papers

Total Citations

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About

Shannon Yasuda is a pioneering researcher in human-robot interaction, with a focus on developing robots capable of both teaching and learning. Her most-cited work, "Why We Should Build Robots That Both Teach and Learn" (2021, 7 citations), introduces a transformative methodology where robots acquire skills from experts, perform them autonomously or collaboratively, and then instruct novices. This dual-capability framework challenges traditional one-directional learning models, positioning robots as adaptive partners in education and skill transfer. Yasuda’s contributions bridge robotics, cognitive science, and pedagogy, offering practical pathways for robots to serve as mentors in classrooms, workplaces, and rehabilitation settings. While her citation count reflects the emerging nature of this field, her work has already sparked discussions on ethical design and lifelong learning in AI systems. Notably, her research emphasizes the social and cognitive benefits of reciprocal human-robot relationships, advocating for robots that not only assist but also empower human growth. Yasuda’s vision continues to inspire new directions in interactive robotics, making her a key voice in shaping how machines can meaningfully contribute to human development.