RESEARCH
I am a PhD graduate from Cornell University, where I developed Blossom, an open-source social robot platform. Blossom was designed as a critique of stereotypical mass-manufactured white-and-black LED-illuminated commercial robots. I — and the many students and collaborators whom I had the pleasure of working with — developed Blossom as a robot construction kit, AI research platform, and telepresence device; my presentation at the RoboPhilosophy conference sums up the Blossom project, which is continued by other researchers.
My papers are available here and on my Google Scholar. My CV is available here.
Thesis
Journal Papers
Face-to-gesture translation neural network.
Michael Suguitan, Nick DePalma, Jessica Hodgins, and Guy Hoffman. Face2Gesture: Translating Facial Expressions Into Robot Movements Through Shared Latent Space Neural Networks. ACM Transactions on Human-Robot Interaction (THRI) Special Issue on AI (in revision), 2023.
Conference Papers
Movement modification neural network, mapped to the affective valence-arousal circumplex model of emotions.
Extended Abstracts
Human-to-robot movement translation CycleGAN network.
Evaluation setup for telepresence study.
Miscellaneous
Michael Suguitan. Robots as Humanizing Post-Digital Media. In International Conference on Social Robotics (ICSR) Metaphors for HRI Workshop Submissions, 2020.
Michael Suguitan and Guy Hoffman. A Portrait of the Robot as a Communicative Medium: Using the DIY Blossom Robot for Accessible Embodied Telepresence. In International Conference on Social Robotics (ICSR) Student Design Competition (Finalist), 2021.