Course Catalog - 2020-2021

     

COMP 565 - COMPUTATIONAL HRI

Long Title: COMPUTATIONAL HUMAN-ROBOT INTERACTION
Department: Computer Science
Grade Mode: Standard Letter
Course Type: Lecture
Credit Hours: 4
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Prerequisite(s): COMP 440 OR COMP 450 OR COMP 540 OR STAT 525 OR MECH 498
Description: The course provides an introduction to the budding field of human-robot interaction (HRI), with emphasis on its computational aspects. The course will cover models and algorithms for learning robot policies from human expertise, modeling human behavior using observational data, and enhancing human-robot coordination. Through problems grounded in HRI, students will also learn about general AI techniques for imitation learning (e.g., inverse reinforcement learning) and sequential decision-making under uncertainty (namely, partially observable MDPs).