Professor
Drives Research Of Humanoid Robots
Watching machines completely independent of human
manipulation face off on the soccer field is one way
for non-computer science majors to understand the real
world capabilities of artificial intelligence and to
provide a taste for the future of robotics. Peter
Stone, associate computer science professor, talked
about his UT RoboCup team, autonomous vehicles and
other parts of his research yesterday. Stone’s
research focuses on how to create “robust, fully
autonomous agents in the real world.” Part of
creating that independence is a concept called machine
learning, where the robot can learn from its mistakes
and ideally improve from experience, he said.