Clare M. Lohrmann

headshot.jpg

Hi! I’m Clare Lohrmann, a computer scientist and researcher working at the intersection of artificial intelligence, human-robot interaction, and human-centered computing. I’m currently an Assistant Professor of Computer Science at Western Washington University, where I teach and conduct research on how we can build intelligent systems that work more effectively with people. My work focuses particularly on human-robot teaming, predictability, and designing AI systems that are not only capable, but understandable and useful to the people who interact with them. Outside of research and teaching, I enjoy spending time on my hobby farm and finding ways to combine my love of technology, creativity, and the outdoors. Students interested in conducting research with me should send me an email to my WWU email address.

Hula (above) is my service dog and an essential part of making my work and daily life accessible. She accompanies me to campus, meetings, conferences, and other professional events, providing support and helping me navigate environments that might otherwise be more challenging or inaccessible. Having Hula by my side allows me to participate more fully in teaching, research, and academic life. She is also a wonderful companion and, of course, a much-loved member of my team.

Outside of work, I’m an avid crafter and am a passionate hobby breeder of heritage poultry on my hobby farm. Above are some pictures of my prized Australian Spotted ducks, which are classed as critically endangered by the Livestock Conservancy, with less than 500 birds globally.

selected publications

2025

  1. Employing Laban Shape for Generating Emotionally and Functionally Expressive Trajectories in Robotic Manipulators
    Srikrishna Bangalore Raghu, Clare Lohrmann, Akshay Bakshi, and 4 more authors
    In 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2025), Aug 2025

2024

  1. Iteratively Adding Latent Human Knowledge within Trajectory Optimization Specifications Improves Learning and Task Outcomes
    Christine Chang, Maria Stull, Breanne Crockett, and 4 more authors
    IEEE Robotics and Automation Letters (RA-L), Aug 2024
  2. Generating Pattern-Based Conventions for Predictable Planning in Human-Robot Collaboration
    Clare Lohrmann, Maria Stull, Alessandro Roncone, and 1 more author
    ACM Transactions on Human-Robot Interaction, Mar 2024