Jaime Fernández Fisac

Assistant Professor of Electrical Engineering
Email Address: 
Office Location: 
B316 Engineering Quadrangle

I am interested in ensuring the safe operation of robotic systems in the human space.

My work combines safety analysis from control theory with machine learning and artificial intelligence techniques to enable robotic systems to reason competently about their own safety in spite of using inevitably fallible models of the world and other agents. We do this by having robots monitor their own ability to understand the world around them, accounting for how the gap between their models and reality affects their ability to guarantee safety.

Much of my research uses dynamic game theory together with insights from cognitive science to enable robots to strategically plan their interaction with human beings in contexts ranging from human-robot teamwork to drone navigation and autonomous driving. My lab’s scope spans theoretical work, algorithm design, and implementation on a variety of robotic platforms.

I am currently spending a year as a Research Scientist at Waymo (also known as Google’s Self-Driving Car project) and will be starting as an Assistant Professor at Princeton in Summer 2020.

If you are interested in joining my lab as a student, please consider applying to Princeton!

Publications List: 
  1. J. F. Fisac*, A. K. Akametalu*, M. N. Zeilinger, S. Kaynama, J. H. Gillula, and C. J. Tomlin. “A general safety framework for learning-based control in uncertain robotic systems,” IEEE Transactions on Automatic Control, 2019
  2. J. F. Fisac*, N. Lugovoy*, V. Rubies Royo, S. Ghosh, C. J. Tomlin. “Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning,” International Conference on Robotics and Automation (ICRA), 2019
  3. J. F. Fisac*, E. Bronstein*, E. Stefansson, D. Sadigh, S. S. Sastry, and A. D. Dragan. “Hierarchical Game- Theoretic Planning for Autonomous Vehicles,” International Conference on Robotics and Automation (ICRA), 2019
  4. J. F. Fisac*, A. Bajcsy*, S. L. Herbert, D. Fridovich-Keil, S. Wang, C. J. Tomlin, and A. D. Dragan. “Probabilistically Safe Robot Planning with Confidence-Based Human Predictions,” Robotics: Science and Systems (RSS), 2018
  5. J. F. Fisac, M. Chen, C. J. Tomlin, and S. S. Sastry. “Reach-avoid problems with time-varying dynamics, targets and constraints”. International Conference on Hybrid Systems Computation and Control (HSCC), 2015

Google Scholar Profile

Honors and Awards