Explore a robotics seminar featuring Dr. Bradley Hayes from the University of Colorado Boulder, focusing on Explainable AI for achieving shared expectations in human-robot collaboration. Delve into the challenges of deploying collaborative robots in human-dominated environments and learn about novel approaches to create adaptive, communicative robot collaborators. Discover the importance of explainability and human-interpretable models in establishing shared expectations between humans and robots, ensuring safe and efficient operation in learning from demonstration and collaborative task execution. Gain insights into Dr. Hayes' research on developing explainable AI and interpretable machine learning techniques for safe task and motion planning, aimed at creating trustworthy autonomous teammates that enhance human performance across various domains including healthcare, domestic tasks, and manufacturing.