Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

1-2015

Abstract

Robots are increasingly becoming key players in human-robot teams. To become effective teammates, robots must possess profound understanding of an environment, be able to reason about the desired commands and goals within a specific context, and be able to communicate with human teammates in a clear and natural way. To address these challenges, we have developed an intelligence architecture that combines cognitive components to carry out high-level cognitive tasks, semantic perception to label regions in the world, and a natural language component to reason about the command and its relationship to the objects in the world. This paper describes recent developments using this architecture on a fielded mobile robot platform operating in unknown urban environments. We report a summary of extensive outdoor experiments; the results suggest that a multidisciplinary approach to robotics has the potential to create competent human-robot teams.

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems

Research Areas

Data Science and Engineering; Intelligent Systems and Optimization

Publication

Proceedings of the 29th AAAI Conference on Artificial Intelligence, Austin, Texas, 2015 January 25-30

Volume

2

First Page

1371

Last Page

1379

ISBN

9781577357001

Identifier

10.5555/2887007.2887197

Publisher

AAAI

City or Country

Washington, DC

Additional URL

https://doi.org/10.5555/2887007.2887197

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