Christina Schmidbauer
Papers
10
Total Citations
210
H-Index
8
About
Christina Schmidbauer is a leading researcher in human-robot collaboration, focusing on how industrial robots—especially collaborative robots, or cobots—can work alongside people in manufacturing and assembly. Her work bridges engineering, psychology, and education to make cobots more intuitive, adaptive, and accepted by human workers. She has pioneered research on task allocation between humans and cobots, showing that workers prefer flexible, shared control over static assignments. Her highly cited 2020 study on teaching cobots in learning factories (51 citations) redefined robot programming as a user-centered, non-expert activity. She also demonstrated that a robot’s interaction style—such as encouraging feedback—can significantly boost a worker’s self-efficacy and engagement. Schmidbauer has developed digital assistance systems and design guidelines for cobot interfaces, and created “learning nuggets” for adaptive cobot education. Her work has been published in top venues and cited over 200 times, shaping how industry and academia approach human-robot teamwork. She is also known for democratizing cobot technology through interactive workshops and learning factories, making advanced robotics accessible to non-specialists.
Research Focus
Key Achievements
Top Papers
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- 3Adaptive Task Sharing in Human-Robot Interaction in Assembly33 citations · 2020
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- 7Design Guidelines for Collaborative Industrial Robot User Interfaces12 citations · 2021
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