This course covers optimal control fundamentals and their application to motion planning and decision making in robotics. Topics include Markov decision processes (MDPs), dynamic programming, search-based and sampling-based motion planning, value and policy iteration, linear quadratic regulation (LQR), and model-free reinforcement learning.
This undergraduate-level course focuses on single-input single-output linear time-invariant control systems emphasizing frequency-domain methods. Topics include modeling of feedback control systems, transient and steady-state behavior, Laplace transforms, stability, root locus, frequency response, Bode plots, Nyquist plots, Nichols plots, PID control, and loop shaping.
This course is an introduction to the basic concepts of artificial intelligence (AI) as is practiced in the 2020s. At the end of this course you will be able to build AI systems that you can train to solve a variety of problems.
Graph Neural Networks (GNNs) are information processing architectures for signals supported on graphs. They have been developed and are presented in this course as generalizations of the convolutional neural networks (CNNs) that are used to process signals in time and space.
This tutorial provides an overview of recent advances in jailbreaking attacks, defenses, and evaluation methods, with particular emphasis on applications in robotics and agentic systems.
An introduction to robotics algorithms for mapping, localization, planning, and control, as well as a realistic testbed to try before deploying the algorithms on a real robot. The PyBullet physics simulator is used to demonstrate these algorithms on ground wheeled robots in simulation.
UC San Diego Today || The San Diego Robotics Forum celebrated its 10th anniversary Nov. 5, 2025 with talks from startup founders who are also alumni, entrepreneur guest speakers, and engineering faculty whose work probes the limits of what is possible in robotics and artificial intelligence. This year’s event, organized by the UC San Diego […]
UC San Diego professor and TILOS affiliate faculty member Rose Yu is one of three winners of the 2025 Samsung AI Researcher of the Year award! The winners were recognized at the ninth annual Samsung AI Forum, held September 15-16, 2025 in Yongin, South Korea.
The Semiconductor Research Corporation Sustainable Future Award recognizes researchers whose work is driving meaningful progress toward energy-efficient, sustainable technologies—whether in manufacturing or in computing and communication systems at scale.
UC San Diego Today || Researchers from UC San Diego, including TILOS Foundations team member Sean Gao and affiliate Rose Yu, received three Western Digital Petabyte Innovation Quest (Peak) awards for pursuing innovative data storage projects. The research teams were each awarded 1.2 petabytes of data storage—that’s more than a million gigabytes—to advance fusion energy; […]
