CAREER Award Fuels Work on Control Systems for Autonomous Vehicles
Dr. Tyler Summers, associate professor of mechanical engineering at UT Dallas, leads the Control, Optimization, and Networks Lab where he and students conduct research on autonomous systems.
Autonomous vehicles need to process enormous volumes of constantly changing and unpredictable data from sensors and detectors in order to make decisions, such as whether to change lanes.
Developing control systems that can manage these massive data inputs is a major challenge for getting vehicles to their destinations safely and efficiently, said Dr. Tyler Summers, associate professor of mechanical engineering at The University of Texas at Dallas. Summers has received a $500,000, five-year Faculty Early Career Development Program (CAREER) award from the National Science Foundation to support his research to develop such control systems and networks.
“Our challenge is determining how to architect control systems and networks to produce desired behaviors in the face of uncertainty and adversarial influences,” said Summers, who concentrates on the abstract, mathematical aspects of this research area in the Erik Jonsson School of Engineering and Computer Science.
Super COMO is an autonomous, artificial intelligence vehicle designed by Dr. Tyler Summers and his team. A demonstration of the vehicle’s capabilities can be found on YouTube.
As an example of an application of his work, Summers said robust control systems are needed to reduce the risk of cyberattacks that have caused malfunctions in some autonomous vehicles. He also is working on solutions that address inaccurate measurements or misclassifications that could compromise a vehicle’s performance. His research applies to the operation of a single autonomous vehicle or coordinating fleets of vehicles.
Summers’ research also has a broader range of commercial and military applications.
“Control networks need to allow the grid to operate with large amounts of wind and solar energy. We’ve had days when wind provided half of the state’s power, but there’s a huge challenge of how to reliably operate the grid as intermittent and unpredictable energy sources become more prevalent. We need to rethink the control architecture of the grid.”
Dr. Tyler Summers
the Erik Jonsson School of Engineering and Computer Science
Networks have become increasingly complex with the integration of machine learning, he said. For example, electricity grids must interface with a growing number and type of data and algorithms for integrating renewable, fluctuating power sources.
Summers leads the Control, Optimization, and Networks Lab, where he and students conduct research on autonomous systems, including Super COMO, an autonomous, artificial intelligence vehicle. The project, funded in part by a $350,000 grant he received in 2017 from the Army Research Office Young Investigator Program, is part of his research on connecting sensors and actuators into networks.
After earning a PhD in aerospace engineering at UT Austin in 2010, Summers served as a postdoctoral fellow at the ETH Zurich, a research university in Switzerland, before joining UT Dallas in 2015.