research overview
- 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.