Machine learning for interactive systems and robots: A brief introduction

Heriberto Cuayáhuitl, Martijn Van Otterlo, Nina Dethlefs, Lutz Frommberger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Research on interactive systems and robots, i.e. interactive machines that perceive, act and communicate, has applied a multitude of different machine learning frameworks in recent years, many of which are based on a form of reinforcement learning (RL). In this paper, we will provide a brief introduction to the application of machine learning techniques in interactive learning systems. We identify several dimensions along which interactive learning systems can be analyzed. We argue that while many applications of interactive machines seem different at first sight, sufficient commonalities exist in terms of the challenges faced. By identifying these commonalities between (learning) approaches, and by taking interdisciplinary approaches towards the challenges, we anticipate more effective design and development of sophisticated machines that perceive, act and communicate in complex, dynamic and uncertain environments.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
Pages19-28
Number of pages10
DOIs
Publication statusPublished - 30 Aug 2013
Event2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication, 23rd International Joint Conference on Artificial Intelligence - Beijing, United Kingdom
Duration: 4 Aug 20134 Aug 2013

Conference

Conference2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication, 23rd International Joint Conference on Artificial Intelligence
Abbreviated titleMLIS 2013 & IJCAI 2013
CountryUnited Kingdom
CityBeijing
Period4/08/134/08/13

Keywords

  • Algorithms
  • Theory

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Machine learning for interactive systems and robots: A brief introduction'. Together they form a unique fingerprint.

  • Cite this

    Cuayáhuitl, H., Van Otterlo, M., Dethlefs, N., & Frommberger, L. (2013). Machine learning for interactive systems and robots: A brief introduction. In ACM International Conference Proceeding Series (pp. 19-28) https://doi.org/10.1145/2493525.2493530