RoboCup Rescue A Grand Challenge for Multiagent and Intelligent Systems.(Statistical Data Included)

• Published in: The AI magazine Vol. 22; no. 1; p. 39
• Main Authors: Kitano, Hiroaki, Tadokoro, Satoshi
• Format: Journal Article
• Language: English
• Published: American Association for Artificial Intelligence 01.03.2001
• Subjects: Management; Methods; Natural disasters; Robotics; Search and rescue operations; Technology; United States
• ISSN: 0738-4602

Disaster rescue is one of the most serious social issues that involves very large numbers of heterogeneous agents in the hostile environment. The intention of the RoboCup Rescue project is to promote research and development in this socially significant domain at various levels, involving multiagent teamwork coordination, physical agents for search and rescue, information infrastructures, personal digital assistants, a standard simulator and decision-support systems, evaluation benchmarks for rescue strategies, and robotic systems that are all integrated into a comprehensive system in the future. For this effort, which was built on the success of the RoboCup Soccer project, we will provide forums of technical discussions and competitive evaluations for researchers and practitioners. Although the rescue domain is intuitively appealing as a large-scale multiagent and intelligent system domain, analysis has not yet revealed its domain characteristics. The first research evaluation meeting will be held at RoboCup-2001, in conjunction with the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-2001), as part of the RoboCup Rescue Simulation League and RoboCup/AAAI Rescue Robot Competition. In this article, we present a detailed analysis of the task domain and elucidate characteristics necessary for multiagent and intelligent systems for this domain. Then, we present an overview of the RoboCup Rescue project.