Overview

The Robotics Consortium is a new initiative from UT Austin that seeks to forge a close relationship between university faculty and graduate students in robotics and our natural partners in industry. Due to fundamental advances across multiple disciplines, robotics will be a huge growth area over the coming years, both academically and economically. The Robotics Consortium seeks to capitalize on that growth by creating an exchange in which affiliate partners benefit from access to cutting edge knowledge capital and top talent while the university gains a clearer understanding of the practical challenges confronting industry and a market for its graduates.

ROBOTICS EDUCATION

In light of the growing importance of robotics, UT created a Graduate Portfolio Program in Robotics in 2015. The Graduate Portfolio Program in Robotics provides graduate students the opportunity to obtain an official “certification of expertise” in robotics with their Masters or Ph.D. degree from their home departments. Students in the portfolio program will receive multidisciplinary training in robotics by completing core coursework offered by the Department of Computer Science and the Department of Mechanical Engineering. Students must also participate in research seminars and complete additional approved courses offered by participating departments. The portfolio program aims to create a student-led research community in robotics at UT Austin.

ROBOTICS RESEARCH

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 labs and groups affiliated with the Robotics Portfolio and Robotics Consortium at UT Austin conduct world-class robotics research. (Sample list. Not comprehensive.)

  • Learning Agents Research Group pertain to machine learning (especially reinforcement learning), multiagent systems, and robotics.
  • ReNeu Robotics Lab seeks to apply the robotics methodologies and technologies to analyze and understand human biomechanics as well as neuromuscular controls.
  • Human Centered Robotics Lab studies machines and robotic systems with high mobility to assist, augment, or represent humans in any way that will increase social comfort, productivity, security and health.
  • ReWire Lab developes and uses technology for neuroscience and rehabilitation.
  • Nuclear Robotics Group develops and deploys advanced robotics in hazardous environments in order to minimize risk for the human operator.
  • Personal Autonomous Robotics Lab (PeARL) focuses on developing algorithms to solve problems that robot learners encounter in real-world interactive settings.