F&M CARES

Interdisciplinary lab researching the Computer, Affective, Robotic, & Ethical Sciences

The F&M CARES lab uses human-robot interaction to research advances in artificial intelligence, human-computer interaction, and cognitive science. We focus on socially assistive robots, which are designed to assist people through social means rather than physical. We are particularly interested in robots that are designed to assist people from vulnerable popultions. These populations are most at risk of having technology impinge upon the development or maintenance of their dignity and autonomy. Previous work involved older adults, particularly those with Parkinson’s disease, and more recent projects work with young children.

F&M CARES is led by Prof. Willie Wilson, who is an assistant professor of computer science at Franklin & Marshall College. Other researchers in the lab are undergraduates majoring in a broad array of fields, including computer science, cognitive science, bioinformatics, and mathematics. We also have ongoing collaborations with the Early Social Cognition Lab at F&M and the Developmental Science Lab.

The F&M CARES Lab can be found in the basement of Stager Hall, in room 020. There you will find undergraduate researchers writing code, analyzing data, designing experiments, and reviewing literature. Additionally, you will find our robots, which include two Misty II and two NAO v6 robots. Sometimes, you may even find these robots hanging out together, check out this video.

latest posts

May 07, 2024 Hiring Grad Student
May 01, 2024 CAREER Award
Mar 22, 2024 Introducing the New CARES Website

selected publications

  1. HRI Curriculum for a Liberal Arts Education
    Jason R. Wilson, and Emily Jensen
    In Proceedings of the HRI 101 Workshop: Designing an Intro to HRI Course , 2024
  2. misty_gen_beh.png
    Towards An Ontology for Generating Behaviors for Socially Assistive Robots Helping Young Children
    Tracy Yang , Allison Langer , Lauren Howard , and 2 more authors
    In Proceedings of the AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction , 2023
    Best Paper Award
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