Foundations and Trends® in Robotics > Vol 4 > Issue 2-3

Computational Human-Robot Interaction

Andrea Thomaz, The University of Texas at Austin, USA, athomaz@ece.utexas.edu Guy Hoffman, Cornell University, USA, hoffman@cornell.edu Maya Cakmak, University of Washington, USA, mcakmak@uw.edu
 
Suggested Citation
Andrea Thomaz, Guy Hoffman and Maya Cakmak (2016), "Computational Human-Robot Interaction", Foundations and TrendsĀ® in Robotics: Vol. 4: No. 2-3, pp 105-223. http://dx.doi.org/10.1561/2300000049

Published: 20 Dec 2016
© 2016 A. Thomaz, G. Hoffman, and M. Cakmak
 
Subjects
Human-Robot Interaction
 

Free Preview:

Article Help

Share

Download article
In this article:
1. Introduction
2. Perceiving Humans for Social Interaction
3. Verbal Communication in Social Robots
4. Communicating with Nonverbal Behavior
5. Affect and Emotion in Social Robots
6. Understanding Human Intentions
7. Human-Robot Collaboration
8. Social Robot Navigation
9. Robots Learning from Human Teachers
10. Conclusion
References

Abstract

We present a systematic survey of computational research in humanrobot interaction (HRI) over the past decade. Computational HRI is the subset of the field that is specifically concerned with the algorithms, techniques, models, and frameworks necessary to build robotic systems that engage in social interactions with humans. Within the field of robotics, HRI poses distinct computational challenges in each of the traditional core research areas: perception, manipulation, planning, task execution, navigation, and learning. These challenges are addressed by the research literature surveyed here. We surveyed twelve publication venues and include work that tackles computational HRI challenges, categorized into eight topics: (a) perceiving humans and their activities; (b) generating and understanding verbal expression; (c) generating and understanding non-verbal behaviors; (d) modeling, expressing, and understanding emotional states; (e) recognizing and conveying intentional action; (f) collaborating with humans; (g) navigating with and around humans; and (h) learning from humans in a social manner. For each topic, we suggest promising future research areas.

DOI:10.1561/2300000049
ISBN: 978-1-68083-208-2
140 pp. $95.00
Buy book
 
ISBN: 978-1-68083-209-9
140 pp. $260.00
Buy E-book
Table of contents:
1. Introduction
2. Perceiving Humans for Social Interaction
3. Verbal Communication in Social Robots
4. Communicating with Nonverbal Behavior
5. Affect and Emotion in Social Robots
6. Understanding Human Intentions
7. Human-Robot Collaboration
8. Social Robot Navigation
9. Robots Learning from Human Teachers
10. Conclusion
References

Computational Human-Robot Interaction

The field of human-robot interaction (HRI) is expanding and maturing and HRI is a research topic which is increasingly solicited and included in the broader robotics community. Computational Human-Robot Interaction provides the reader with a systematic overview of the field of HRI over the past decade, with a focus on the computational frameworks, algorithms, techniques, and models currently used to enable robots to interact with humans.

Within the field of robotics, HRI poses distinct computational challenges, in each of the traditional core research areas: perception, manipulation, planning, task execution, navigation, and learning. Computational Human-Robot Interaction addresses these challenges by surveying 12 publication venues and including work that tackles computational HRI challenges, categorized along eight topics: (1) perceiving humans and their activities; (2) generating and understanding verbal expression; (3) generating and understanding non-verbal behaviors; (4) modeling, expressing, and understanding emotional states; (5) recognizing and conveying intentional action; (6) collaborating with humans; (7) navigating with and around humans; and (8) learning from humans in a social manner. For each topic, promising future research areas are identified.

Computational Human-Robot Interaction is an ideal reference for any researcher who wants to understand the research that has been done so far in the area, and potentially get involved with their own avenue of research.

 
ROB-049