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 and software agents 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, Imitation Learning, Reinforcement Learning, Behavioral Modeling, Computer Vision, Large Language Models, and Human-Robot Interaction.
keywords
Human-Robot Interaction, Human-Robot Teaming, Human-Robot Collaboration, Decision Support, Vision-Language Models, Large Language Models, Explainable Artificial Intelligence, Machine Learning
Social Hierarchical Learning.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
4237-4238.
2015
