Welcome to the
Hybrid Systems Laboratory website!

UC Berkeley

This lab is under the direction of Professor Claire Tomlin in the Electrical Engineering and Computer Sciences (EECS) Department at UC Berkeley.

We study a range of problems in control theory and robotics that can be modeled by hybrid systems -- a broad class of dynamical systems which exhibit both discrete event and continuous-time dynamics. We are particularly interested in designing and theoretically verifying control strategies for safety-critical autonomous systems. Though often theoretically-oriented, our research affects a variety of application areas, including air traffic control automation, algorithms for decentralized optimization, modeling and analysis of biological cell networks, and unmanned aerial vehicle design and control.

Learn more about our projects and meet the people in the lab.

Research Areas

Safety Analysis

Hamilton-Jacobi (HJ) reachability analysis, risk-sensitive safety analysis, safety analysis of robotic motion planners

Control

Safe controller synthesis, optimal control for nonlinear systems, feedback control for constrained systems

Multi-Agent Systems

Multi-unmanned aerial vehicle systems, human-robot interaction, motion planning for multi-agent robotic systems

Machine Learning

Reinforcement learning for contorl, verification of deep neural networks, learning dynamics, learning-based perception with model-based control

Power Systems

Renewable energy, electric distribution networks

Robotics

Safe real-time motion planning, unmanned aerial vehicles, autonomous ground vehicles, gasping and manipulation, insect-scale robotics

Biological Systems

Breast cancer as a safety-critical system

Dynamic Games

Pursuit-evasion games for safety-critical systems, efficient solvers for nonlinear multi-player games