Exploiting Spatial Locality and Heterogeneity of Agents for Search and Rescue Teamwork*

James Parker, Ernesto Nunes, Julio Godoy, Maria Gini

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We propose coordination mechanisms for multiple heterogeneous physical agents that operate in city-scale disaster scenarios, where they need to find and rescue people and extinguish fires. Large-scale disasters are characterized by limited and unreliable communications; dangerous events that may disable agents; uncertainty about the location, duration, and type of tasks; and stringent temporal constraints on task completion times. In our approach, agents form teams with other agents that are in the same geographical area. Our algorithms either yield stable teams formed up front and never change, fluid teams where agents can change teams as need arises, or teams that restrict the types of agents that can belong to the same team. We compare our teaming algorithms against a baseline algorithm in which agents operate independently of others and two state-of-the-art coordination mechanisms. Our algorithms are tested in city-scale disaster simulations using the RoboCup Rescue simulator. Our experiments with different city maps show that, in general, forming teams leads to increased task completion and, specifically, that our teaming method that restricts the types of agents in a team outperforms the other methods.

Original languageEnglish (US)
Pages (from-to)877-900
Number of pages24
JournalJournal of Field Robotics
Volume33
Issue number7
DOIs
StatePublished - Oct 1 2016

Bibliographical note

Funding Information:
This material is based upon work supported in part by the National Science Foundation under grants NSF IIS-1208413 and NSF IIP-0934327.

Fingerprint

Dive into the research topics of 'Exploiting Spatial Locality and Heterogeneity of Agents for Search and Rescue Teamwork*'. Together they form a unique fingerprint.

Cite this