Andreas Kornmaaler Hansen
Papers
10
Total Citations
70
H-Index
5
About
Andreas Kornmaaler Hansen is a researcher specializing in human-robot interaction (HRI), industrial robotics, and workforce training for Industry 4.0 environments. His work sits at the intersection of robotics, natural language processing, and organizational learning, focusing on how humans can more intuitively interact with and learn from robotic systems in real-world settings. Hansen's most impactful contribution is his development of virtual assistant frameworks for industrial robots — most notably the "Max" system — which earned his 2022 paper 29 citations, making it his most recognized work. This research addresses a pressing industrial challenge: equipping employees with the skills to operate advanced robotic technologies through accessible, language-enabled interfaces. His Learning, Training, and Assistance (LTA) framework has become a recurring foundation across multiple publications. Beyond industrial applications, Hansen has investigated social robotics in public spaces, exploring how robot posture, environment, and user perception shape HRI quality. His 2018 airport field study and subsequent work on cobot onboarding for novice operators reflect a consistent commitment to human-centered design. His more recent explorations into the robotization of manufacturing work and socially assistive robots for mental health signal an expanding research vision. With over 70 cumulative citations, Hansen is an emerging voice in applied human-robot interaction research.
Research Focus
Key Achievements
Top Papers
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- 4On the Importance of Posture and the Interaction Environment7 citations · 2020
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