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.
The Learning Agents Research Group pertain to machine learning (especially reinforcement learning), multiagent systems, and robotics.
The Nuclear and Applied Robotics Group develops and deploys advanced robotics in hazardous environments in order to minimize risk for the human operator.
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.
The Personal Autonomous Robotics Lab develops machine learning algorithms to solve problems that robot learners encounter in real-world interactive settings.
Developing and using technology for neuroscience and rehabilitation.
he goal of our research in the Socially Intelligent Machines (SIM) Lab is to enable robots to function in dynamic human environments by allowing them to flexibly adapt their skill set via learning interactions with end-users.
The u-t autonomous group's research is on the theoretical and algorithmic aspects of design and verification of autonomous systems. It embraces the fact that autonomy does not fit traditional disciplinary boundaries, and has made numerous contributions in the intersection of formal methods, controls and learning.