Toward Mobile Robots Reasoning Like Humans
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 com- ponents 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.
BibTeX
@conference{Oh-2015-5903,author = {Jean Hyaejin Oh and Arne Suppe and Felix Duvallet and Abdeslam Boularias and Jerry Vinokurov and Luis Ernesto Navarro-Serment and Oscar Romero and Robert Dean and Christian Lebiere and Martial Hebert and Anthony (Tony) Stentz},
title = {Toward Mobile Robots Reasoning Like Humans},
booktitle = {Proceedings of 29th AAAI Conference on Artificial Intelligence (AAAI '15)},
year = {2015},
month = {January},
pages = {1371 - 1379},
}