PhD Candidate – Control, AI, Robotics – UC Berkeley
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We can't solve AI without talking about safety.
We can't solve safety without talking about people.

Jaime F. Fisac

I am a Ph.D. Candidate in the Electrical Engineering and Computer Sciences Department at UC Berkeley, in the area of Control, Intelligent Systems and Robotics. My advisor is Prof. Shankar Sastry and I also collaborate with Profs. Anca Dragan, Claire Tomlin, and Tom Griffiths.

I am interested in the challenge of introducing robotics into the public space, allowing autonomous systems to safely and efficiently interact with people. To do this, I seek to understand the interactions between humans and other agents in their environment, bringing together techniques from control and decision theory, machine learning, and cognitive science to design human-centered systems that can leverage synergies and guarantee safety. As part of this effort, I am actively involved in UC Berkeley's Center for Augmented Cognition and Center for Human-Compatible AI.

Bio in a nutshell
Before coming to Berkeley I got my B.S./M.S. Engineering degree at the Universidad Politécnica de Madrid in Spain and an additional Masters at Cranfield University in the UK. I also spent one year working in UAV system design at Aerialtronics. I was then awarded the La Caixa Foundation fellowship to pursue a graduate degree in the United States. At the midpoint of my PhD, I spent 6 months doing R&D work at Apple.



Here are the main research projects I am currently working on.
Click on the images to learn more.

Safe Learning for Robotics

Safe Learning for Robotics

Safety in Multi-Agent Systems

Safety in Multi-Agent Systems

Human-Centered Robotics

Human-Centered Robotics

Value-Aligned Artificial Intelligence

Value-Aligned Artificial Intelligence


Pragmatic-Pedagogic Value Alignment
J. F. Fisac, M. A. Gates, J. B. Hamrick, C. Liu, D. Hadfield-Menell, M. Palaniappan, D. Malik, S. S. Sastry, T. L. Griffiths, A. D. Dragan
International Symposium on Robotics Research (ISRR) [submitted]

A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
J. F. Fisac*, A. K. Akametalu*, J. H. Gillula, S. Kaynama, M. N. Zeilinger, and C. J. Tomlin
IEEE Transactions on Automatic Control [submitted]

FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning
S. L. Herbert*, M. Chen*, S. Han, S. Bansal, J. F. Fisac, and C. J. Tomlin
Conference on Decision and Control (CDC), 2017 [to appear]



EE 106A/206A- Introduction to Robotics - Fall 2015
Students learn the fundamentals of robotic motion and manipulation: the theoretical part of the course covers forward and inverse kinematics, dynamics, sensing and localization, planning and actuation, while the lab component introduces them to their practical implementation using the Robot Operating System (ROS) framework. Students get to work with real robots such as Rethink Robotics' Baxter and UC Berkeley's own Zumy. In collaboration with Prof. Ruzena Bajcsy and two other graduate student instructors, I helped oversee over 20 class projects, ranging from a heat-seeking mobile robot to a robot arm that could track and catch other robots.


Ted Xiao
UC Berkeley EECS undergraduate, 2015. Recently obtained a M.S.

Elis Stefansson
Visiting masters student from KTH (Sweden). Now a researcher at KTH.

Workshops and Seminars

DREAM/CPAR Seminar - Co-organizer - Spring 2017-present
This seminar series has been well established over the past few years, and is a joint effort between the Design of Robotics and Embedded systems, Analysis, and Modeling Seminar and the CITRIS People and Robots Initiative.

Perspectives on Analysis and Design of Human-Centered Robotics - Co-organizer - IROS Workshop, Fall 2016
This well-attended workshop brought together reseearchers from industry and academia spanning the areas of human modeling, human-robot interaction, and robotic systems design, to discuss some of the key challenges and existing technical methods for introducing autonomous robots into the human domain.

Popular Science

Automating Us
Automating Us – the entanglement of people and machines
D. Aranki, R. Dobbe, J. F. Fisac, and C. Wu
Berkeley Science Review, 2015
A look into the ethical and social implications of automation technologies.


I helped run a free summer program for 9th- and 10th-grade students from several high schools Bay Area. Students had a chance to learn about some key concepts in AI such as optimization, supervised learning, and reinforcement learning, and got to test out these ideas through some basic hands-on programming.


337 Cory Hall
University of California, Berkeley, CA 94720



Center for Human-compatible AI
Center for Augmented Cognition