Dr. Daniel Seita

Biography

Daniel Seita is an Assistant Professor in the Computer Science department at the University of Southern California and the director of the Sensing, Learning, Understanding Robotic Manipulation (SLURM) Lab. His research interests include computer vision, machine learning, and robot manipulation, with a particular focus on developing novel methods to improve manipulation of challenging deformable objects. Daniel previously held a postdoctoral position at Carnegie Mellon University's Robotics Institute and earned his PhD in computer science from the University of California, Berkeley. He received undergraduate degrees in math and computer science from Williams College. His research has been supported by a six-year Graduate Fellowship for STEM Diversity and a two-year Berkeley Fellowship. Daniel has received several honors, including an Honorable Mention Paper award at UAI 2017 and the RSS 2022 Pioneer award, and has presented his work at premier robotics conferences such as ICRA, IROS, RSS, and CoRL.

Research Interests