Jean OH
et. al.

Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

1-2015

Abstract

With recent advances in robotics technologies and autonomous systems, the idea of human-robot teams is gaining ever-increasing attention. In this context, our research focuses on developing an intelligent robot that can autonomously perform non-trivial, but specific tasks conveyed through natural language. Toward this goal, a consortium of researchers develop and integrate various types of intelligence into mobile robot platforms, including cognitive abilities to reason about high-level missions, perception to classify regions and detect relevant objects in an environment, and linguistic abilities to associate instructions with the robot’s world model and to communicate with human teammates in a natural way. This paper describes the resulting system with integrated intelligence and reports on the latest assessment.

Keywords

Perception Module, Robot Teammate, Semantic Object, Symbol Grounding, World Model

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems

Research Areas

Data Science and Engineering; Intelligent Systems and Optimization

Publication

Proceedings of 29th AAAI Conference on Artificial Intelligence (AAAI '15), Austin, Texas, 2015 January 25-30

Volume

1

First Page

309

Last Page

322

ISBN

9783319501147

Identifier

10.1007/978-3-319-50115-4_28

Publisher

Springer Science and Business Media B.V.

City or Country

Austin, Texas, USA

Additional URL

https://doi.org/10.1007/978-3-319-50115-4_28

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