Autonomous Systems Group
The Autonomous Systems Group focuses on developing theory and algorithms for the design and verification of autonomous systems in the intersection of computing, control theory, and learning theory.
Clarke Research Group
The Clarke Research Group develops advanced optimization methodologies to minimize the environmental footprint of aviation and maximize the operational robustness of the global air transportation system.
Geoelements Research Group
Geoelements is an extreme-scale computational geomechanics research group at UT Austin. The group's research focus is developing AI-accelerated numerical simulations for natural hazards and facilitate data-driven discoveries.
The Scientific AI Research Group
The Scientific AI Research Group develops machine learning approaches that complement the more classical techniques for challenging scientific computing tasks.
Control and Learning for Autonomous Robotics (CLeAR) Group
The Control and Learning for Autonomous Robotics (CLeAR) Group works at the intersection between robotics, control theory, machine learning, and game theory to design high performance, interactive autonomous systems.
Control, Optimization, and Online Learning (COOL) for Autonomy Lab
The Control, Optimization, and Online Learning (COOL) for Autonomy lab at the University of Texas, Austin focuses on developing advanced real-time decision-making strategies for autonomy to complement humans in performing complex tasks.
Nonlinear Estimation and Autonomy Research (NEAR) Group
The Nonlinear Estimation and Autonomy Research Group is an aerospace engineering research group specializing in stochastic estimation and autonomous vehicles, conducting theoretical research on uncertain systems.
VITA Group
The VITA Group actively publishes in the fields of machine learning, computer vision, and interdisciplinary data science.