Scholar
Clare Lohrmann
Google Scholar ID: GRM1ZS4AAAAJ
PhD Candidate, University of Colorado, Boulder
robotics
HRI
human-robot teaming
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Employing Laban Shape for Generating Emotionally and Functionally Expressive Trajectories in Robotic Manipulators
2025
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Resume (English only)
Background
Deeply passionate about exploring and enhancing the intricate interplay between humans and robots in collaborative settings.
Research focuses on developing innovative solutions for effective and intuitive human-robot collaboration in dynamic environments.
Emphasizes that human-robot interaction is dyadic: humans adapt and update their beliefs just as robots do.
Believes robots must adapt to and work well with all humans, regardless of their abilities or experience.
Overarching goal is to bridge the gap between human cognition and robot algorithms to enable seamless cooperative partnerships.
Envisions robots not just as tools, but as intelligent, adaptable, understandable, and predictable collaborators.
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