Robotics is emerging to be a prime technology that can greatly advance a wide variety of industries ranging from healthcare (surgery and rehabilitation), to autonomous driving, to domestic and social applications, to oil, to manufacturing, to space exploration, to hazardous material handling, to military applications. A number of groups at UT Austin conduct world-class robotics research.
Learning Agents Research Group
The Learning Agents Research Group pertain to machine learning (especially reinforcement learning), multiagent systems, and robotics.
Nuclear Robotics Group
The Nuclear and Applied Robotics Group develops and deploys advanced robotics in hazardous environments in order to minimize risk for the human operator.
ReNeu Robotics Laboratory
The Lab focuses on the development of robotic devices, based on biomechanical analyses, to assist in rehabilitation, to improve prostheses design, and to provide fitness opportunities for the severely disabled.
PeARL
The Personal Autonomous Robotics Lab develops machine learning algorithms to solve problems that robot learners encounter in real-world interactive settings.
u-t autonomous Lab
The u-t autonomous group's research is on the design and verification of autonomous, networked systems. The central question we tackle is how to build provably correct protocol-based control systems.