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The Interactive and Trustworthy Robotics Lab (Intent Lab) studies how to make learning-enabled robots safely and intelligently interact with humans. Our research develops theoretical frameworks and practical algorithms, drawing upon methods from optimal control, dynamic game theory, Bayesian inference, and deep learning. We ground our work through a variety of applications, such as assistive robotic arms, quadrotors, quadrupedal robots, and autonomous cars, and in experiments with real human participants.

Location: Newell-Simon Hall A513