Integrated intelligence for human-robot teams
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.
BibTeX
@conference{Oh-2016-4847,author = {Jean Hyaejin Oh and Menglong Zhu and Sangdon Park and Thomas M. Howard and Matthew R. Walter and Daniel Barber and Oscar Romero and Arne Suppe and Luis Ernesto Navarro-Serment and Felix Duvallet and Abdeslam Boularias and Jerry Vinokurov and Terence Keegan and Robert Dean and Craig Lennon and Barry Bodt and Marshall Childers and Jianbo Shi and Kostas Daniilidis and Nick Roy and Christian Lebiere and Martial Hebert and Anthony (Tony) Stentz},
title = {Integrated intelligence for human-robot teams},
booktitle = {Proceedings of International Symposium on Experimental Robotics (ISER '16)},
year = {2016},
month = {October},
pages = {309 - 322},
}