I am a (soon-to-be) PhD graduate from Cornell University, where I developed Blossom, an open-source social robot platform. Blossom was designed for accessibility: its hardware and software is open-source, and several researchers have created their own versions of Blossom.
Blossom is a platform for researching generative behaviors through deep neural networks. Through encoder-decoder networks, Blossom 'remixes' user-made movements into autonomously generated behaviors.
Blossom also acts as an accessible telepresence platform, controlled via a smartphone's mobile browser and the user's movement in their own space.
Blossom's been in the press a few times.
Outside of research, I like to build, photograph, and play music.



Publications (Google Scholar)
Journals
Michael Suguitan and Guy Hoffman. What Is It Like to Be a Bot? Variable Perspective Embodied Telepresence for Crowdsourcing Robot Movements. In Personal and Ubiquitous Computing (in revision), 2022.
Conferences
Michael Suguitan, Nick DePalma, Jessica Hodgins, and Guy Hoffman. Face2Gesture: Translating Facial Expressions Into Robot Movements Through Shared Latent Space Neural Networks. In preparation, 2022.
Extended Abstracts​​​​​​​
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.

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