Course Overview

Intelligent robots are soon expected to work alongside humans in the community and workplaces. Human robot interaction (HRI) is a multidisciplinary research domain that investigates the issues involved with smooth integration of robots in the human society. Accordingly, HRI research focuses both on the development of algorithms to make robots intelligent and the analysis of human factors for smooth integration of an intelligent robot in the society and workplace. This graduate course will discuss the evolution of HRI research over the past two decades with an emphasis on HRI algorithms that promote safe, meaningful, and goal-oriented human-robot interactions. We will also discuss about experimental design methodologies commonly used in HRI studies.  

Learning Expectations: At the end of this course you will 

i. have an understanding of human-robot interaction as a rapidly evolving research domain,

ii. know the state-of-the-art algorithms for socially-aware robot learning and human-robot collaboration. 

iii. know how to evaluate your algorithms through well-designed user studies.

General objectives of this graduate course is to enhance your abilities to analyze scientific research in a systematic manner and communicate scholarly thoughts/comments/ideas to a peer audience in a well-accepted manner. 

Textbook: There is no assigned textbook. All necessary materials will be provided in the class.

Grading: 

1. Student presentation and critique: 30%

2. Project (demo, presentation, and report): 60%

3. Class participation: 10%


Official Course Listing:  CS 980 (02) Human Robot Interaction