Integrated Intelligence For Human-Robot Teams
Keywords
Perception Module; Robot Teammate; Semantic Object; Symbol Grounding; World Model
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.
Publication Date
1-1-2017
Publication Title
Springer Proceedings in Advanced Robotics
Volume
1
Number of Pages
309-322
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-50115-4_28
Copyright Status
Unknown
Socpus ID
85107046977 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85107046977
STARS Citation
Oh, Jean; Howard, Thomas M.; Walter, Matthew R.; Barber, Daniel; and Zhu, Menglong, "Integrated Intelligence For Human-Robot Teams" (2017). Scopus Export 2015-2019. 6483.
https://stars.library.ucf.edu/scopus2015/6483