Algorithmic Human-Robot Interaction

3-0-9 units · Graduate

Explores algorithmic approaches to human-robot interaction through a human-centered lens. Topics include: mathematical models of human behavior, inverse reinforcement learning, imitation learning, active learning, explainable AI, and shared autonomy. Emphasizes recent research and foundational methods in the field. Combines lectures with student-led paper presentations, discussions, and short programming assignments. Students complete an individual research project or literature survey to engage with current challenges. Familiarity with probability, sequential decision-making, and Python programming is encouraged. Designed for graduate students; advanced undergraduates may enroll with instructor approval.