Robotics Seminar - Bradley Hayes - University of Colorado Boulder

This course focuses on the development of explainable AI for achieving shared expectations during human-robot collaboration. The learning outcomes include understanding the importance of explainability in robotics, creating human-interpretable models, establishing shared expectations between humans and robots, and ensuring safe and efficient operation in collaborative tasks. The course covers topics such as learning from demonstration, task execution, communication, and using robots to shape human behavior. The teaching method involves lectures and discussions on novel learning and control algorithms. The intended audience includes students, researchers, and professionals interested in robotics, artificial intelligence, and human-robot interaction.