Adaptive heterogeneous multi-robot teams

Authors
Citation
Le. Parker, Adaptive heterogeneous multi-robot teams, NEUROCOMPUT, 28, 1999, pp. 75-92
Citations number
13
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
28
Year of publication
1999
Pages
75 - 92
Database
ISI
SICI code
0925-2312(199910)28:<75:AHMT>2.0.ZU;2-Q
Abstract
This research addresses the problem of achieving fault-tolerant cooperation within small- to medium-sized teams of heterogeneous mobile robots. We des cribe a novel behavior-based, fully distributed architecture, called ALLIAN CE, that utilizes adaptive action selection to achieve fault tolerant coope rative control in robot missions involving loosely coupled tasks. The robot s in this architecture possess a variety of high-level functions that they can perform during a mission, and must at all times select an appropriate a ction based on the requirements of the mission, the activities of other rob ots, the current environmental conditions, and their own internal states. S ince such cooperative teams often work in dynamic and unpredictable environ ments, the software architecture allows the team members to respond robustl y and reliably to unexpected environmental changes and modifications in the robot team that may occur due to mechanical failure, the learning of new s kills, or the addition or removal of robots from the team by human interven tion. After presenting ALLIANCE, we describe in detail our experimental res ults of an implementation of this architecture on a team of physical mobile robots performing a cooperative box pushing demonstration. These experimen ts illustrate the ability of ALLIANCE to achieve adaptive, fault-tolerant c ooperative control amidst dynamic changes in the capabilities of the robot team. (C) 1999 Elsevier Science B.V. All rights reserved.