RT Journal Article
T1 Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments
A1 Canedo Rodríguez, Adrián
A1 Iglesias Rodríguez, Roberto
A1 Vázquez Regueiro, Carlos
A1 Álvarez Santos, Víctor
A1 Pardo López, Xosé Manuel
K1 Robot deployment
K1 Robot detection and tracking
K1 Multi-camera networks
K1 Ambient intelligence
K1 Ubiquitous robots
AB To bring cutting edge robotics from research centres to social environments, the robotics community must start providing affordable solutions: the costs must be reduced and the quality and usefulness of the robot services must be enhanced. Unfortunately, nowadays the deployment of robots and the adaptation of their services to new environments are tasks that usually require several days of expert work. With this in view, we present a multi-agent system made up of intelligent cameras and autonomous robots, which is easy and fast to deploy in different environments. The cameras will enhance the robot perceptions and allow them to react to situations that require their services. Additionally, the cameras will support the movement of the robots. This will enable our robots to navigate even when there are not maps available. The deployment of our system does not require expertise and can be done in a short period of time, since neither software nor hardware tuning is needed. Every system task is automatic, distributed and based on self-organization processes. Our system is scalable, robust, and flexible to the environment. We carried out several real world experiments, which show the good performance of our proposal
PB MDPI
SN 1424-8220
YR 2013
FD 2013
LK http://hdl.handle.net/10347/17709
UL http://hdl.handle.net/10347/17709
LA eng
NO Canedo-Rodriguez, A.; Iglesias, R.; Regueiro, C.V.; Alvarez-Santos, V.; Pardo, X.M. Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments. Sensors 2013, 13, 426-454
NO This work was supported by the research projects TIN2009-07737, INCITE08PXIB262202PR, and TIN2012-32262, the grant BES-2010-040813 FPI-MICINN, and by the grant “Consolidation of Competitive Research Groups, Xunta de Galicia ref. 2010/6”
DS Minerva
RD 24 abr 2026