Daniel Seita

I'm an Assistant Professor of Computer Science at the University of Southern California. I'm interested in robotics, computer vision, and machine learning, with a focus on robotic manipulation of visually and geometrically complex objects. These days, I'm interested in understanding how multimodal observation and action representations can lead to more sample-efficient and reliable learning. I am also interested in foundation models, and how we might be able to use them for robotic manipulation. Ultimately, I hope that this research can help open the doors for robotic manipulation in unstructured environments.


I am actively recruiting students! If you are interested, please check the Sensing, Learning, and Understanding for Robotic Manipulation website to get involved.


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Some recent research and career highlights.
New York Times article on surgical robotics.
Please see my CV for a full list of talks. This will only show a handful of self-selected talks.

2022

Cornell University, Robotics Seminar (video)

2021

University of Toronto, AI in Robotics Seminar (video)

Fa2024

CS 699: Deep Learning for Robotic Manipulation

2024

Associate Editor, IROS

Registration Co-Chair, RSS

2023

Inclusion Co-Chair, CoRL

Associate Editor, IROS

Co-Organizer, RSS Pioneers

Co-Organizer, ICRA Workshop on deformable object manipulation (main contact)

2022

Inclusion Co-Chair, CoRL

Associate Editor, IROS

Co-Organizer, ICRA Workshop on deformable object manipulation

2019+

Berkeley and CMU AI Mentorship Programs

2017+

Primary maintainer, Berkeley AI Research Blog