Welcome! The Trustworthy Robotics Lab at Georgia Tech, directed by Glen Chou, designs principled algorithms that can enable general-purpose robots and autonomous systems to operate capably, safely, and securely with humans, while remaining resilient to real-world failures and uncertainty.
To achieve this, we leverage control and machine learning, while connecting to optimization, perception, formal methods, planning, human-robot interaction, and statistics. We're interested in broad applications of autonomy, including robotic manipulation, vision-based navigation, aerospace, and large-scale cyber-physical systems more generally. Check out the links below or this page for an overview of our work.
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Formally-Verified Model-Based |
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Trustworthy Learning-Based |
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Safe and Robust |