Brad is interested in developing algorithms to facilitate the creation of autonomous robots that can safely and productively learn from and work with humans. In particular, his lab's work serves to enable and facilitate collaborative artificial intelligence, allowing robots to make human teammates safer, more effective, and more efficient at their tasks. As such, his group's research spans many fields, including Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Behavioral Modeling, Computer Vision, Natural Language Processing, Cognitive Science, and Human-Robot Interaction.
CSCI 3302 - Introduction to Robotics
Fall 2018 / Fall 2019
Introduces students to fundamental concepts in autonomous robotics: mechanisms, locomotion, kinematics, control, perception and planning. Consists of lectures and lab sessions that are geared toward developing a complete navigation stack on a miniature mobile robotic platform. Same as ECEN 3303.
CSCI 7000 - Current Topics in Computer Science
Spring 2018 / Spring 2019 / Spring 2020
Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.