Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Using a BDI Agent to Represent a Human on the Factory Floor of the ARIAC 2023 Industrial Automation Competition

Published

Author(s)

Leandro Buss Becker, Anthony Downs, Craig I. Schlenoff, Justin Albrecht, Zeid Kootbally, Angelo Ferrando, Rafael Cordoso, Michael Fisher

Abstract

The "Agile Robotics for Industrial Automation Competition" (ARIAC) is an international robotic competition carried out in a simulated ROS2/Gazebo factory floor. Competitors control a robot, overcoming a range of agility challenges in this simulated environment, and are provided with a scoring system to evaluate their performance during the tasks. This paper describes one of the agility challenges in ARIAC 2023, which pertains to autonomous human operators on the factory floor. The simulated human operators are implemented as Belief- Desire-Intention (BDI) agents and are provided with a range of different potential types of behaviour. In undertaking manufacturing tasks, competitors must now also avoid close proximity to these humans.
Conference Dates
September 14-15, 2023
Conference Location
Naples, IT
Conference Title
European Conference on Multi-Agent Systems (EUMAS 2023)

Keywords

BDI agents, ARIAC, robots in human environments

Citation

Buss Becker, L. , Downs, A. , Schlenoff, C. , Albrecht, J. , Kootbally, Z. , Ferrando, A. , Cordoso, R. and Fisher, M. (2023), Using a BDI Agent to Represent a Human on the Factory Floor of the ARIAC 2023 Industrial Automation Competition, European Conference on Multi-Agent Systems (EUMAS 2023) , Naples, IT, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936671 (Accessed November 21, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 15, 2023, Updated October 27, 2023