Toward mobile robots reasoning like humans

• Main Authors: OH, Jean, SUPPE, Arne, DUVALLET, Felix, BOULARIAS, Abdeslam, NAVARRO-SERMENT, Luis, HEBERT, Martial, STENTZ, Anthony, VINOKUROV, Jerry, ROMERO, Oscar, LEBIERE, Christian, DEAN, Robert
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8252; https://ink.library.smu.edu.sg/context/sis_research/article/9255/viewcontent/9383_Article_Text_12911_1_2_20201228__3_.pdf
• Institution: Singapore Management University

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.