DocumentCode
2479657
Title
Tightly-coupled navigation assistance in heterogeneous multi-robot teams
Author
Parker, Lynne E. ; Kannan, Balajee ; Tang, Fang ; Bailey, Michael
Author_Institution
Dept. of Comput. Sci., Tennessee Univ., TN, USA
Volume
1
fYear
2004
fDate
28 Sept.-2 Oct. 2004
Firstpage
1016
Abstract
This paper presents the design and results of autonomous behaviors for tightly-coupled cooperation in heterogeneous robot teams, specifically for the task of navigation assistance. These cooperative behaviors enable capable, sensor rich ("leader") robots to assist in the navigation of sensor-limited ("simple") robots that have no onboard capabilities for obstacle avoidance or localization, and only minimal capabilities for kin recognition. The simple robots must be dispersed throughout a known, indoor environment to serve as a sensor network. However, because of their navigation limitations, they are unable to autonomously disperse themselves or move to planned sensor deployment positions independently. To address this challenge, we present cooperative behaviors for heterogeneous robots that enable the successful deployment of sensor-limited robots by assistance from more capable leader robots. These heterogeneous cooperative behaviors are quite complex, and involve the combination of several behavior components, including vision-based marker detection, autonomous teleoperation, color marker following in robot chains, laser-based localization, map-based path planning, and ad hoc mobile networking. We present the results of the implementation and extensive testing of these behaviors for deployment in a rigorous test environment. To our knowledge, this is the most complex heterogeneous robot team cooperative task ever attempted on physical robots. We consider it a significant success to have achieved such a high degree of system effectiveness, given the complexity of the overall heterogeneous system.
Keywords
ad hoc networks; collision avoidance; cooperative systems; mobile radio; multi-robot systems; ad hoc mobile networking; autonomous behaviors; heterogeneous cooperative behaviors; heterogeneous multirobot teams; kin recognition; laser-based localization; map-based path planning; obstacle avoidance; sensor network; sensor-limited robots; tightly-coupled navigation assistance; Acoustic sensors; Cameras; Intelligent robots; Intelligent sensors; Mobile robots; Navigation; Robot kinematics; Robot sensing systems; Robot vision systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN
0-7803-8463-6
Type
conf
DOI
10.1109/IROS.2004.1389486
Filename
1389486
Link To Document