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Brian Coltin, Somchaya Liemhetcharat, Çetin Meriçli, Junyun Tay, and Manuela Veloso. Multi-Humanoid World Modeling in Standard Platform Robot Soccer. In Proceedings of 2010 IEEE-RAS International Conference on Humanoid Robots, December 6-8, 2010, Nashville, TN, USA, 2010.
In the RoboCup Standard Platform League (SPL), the robot platform is the same humanoid NAO robot for all the competing teams. The NAO humanoids are fully autonomous with two onboard directional cameras, computation, multi-joint body, and wireless communication among them. One of the main opportunities of having a team of robots is to have robots share information and coordinate. We address the problem of each humanoid building a model of the world in real-time, given a combination of its own limited sensing, known models of actu- ation, and the communicated information from its teammates. Such multi-humanoid world modeling is challenging due to the biped motion, the limited perception, and the tight coupling between behaviors, sensing, localization, and communication. We describe the real-world opportunities, constraints and limitations imposed by the NAO humanoid robots. We contribute a modeling approach that differentiates among the motion model of different objects, in terms of their dynamics, namely the static landmarks (e.g., goal posts, lines, corners), the passive moving ball, and the controlled moving robots, both teammates and adversaries. We present experimental results with the NAO humanoid robots to illustrate the impact of our multi-humanoid world modeling approach. The challenges and approaches we present are relevant to the general problem of assessing and sharing information among multiple humanoid robots acting in a world with multiple types of objects.
@inproceedings{coltin2010b,
author = {Brian Coltin and Somchaya Liemhetcharat and Çetin Meriçli and Junyun Tay and Manuela Veloso},
title = {Multi-Humanoid World Modeling in Standard Platform Robot Soccer},
booktitle = {Proceedings of 2010 IEEE-RAS International Conference on Humanoid Robots, December 6-8, 2010, Nashville, TN, USA},
year = {2010},
abstract = {In the RoboCup Standard Platform League (SPL),
the robot platform is the same humanoid NAO robot for all the
competing teams. The NAO humanoids are fully autonomous
with two onboard directional cameras, computation, multi-joint
body, and wireless communication among them. One of the main
opportunities of having a team of robots is to have robots share
information and coordinate. We address the problem of each
humanoid building a model of the world in real-time, given a
combination of its own limited sensing, known models of actu-
ation, and the communicated information from its teammates.
Such multi-humanoid world modeling is challenging due to the
biped motion, the limited perception, and the tight coupling
between behaviors, sensing, localization, and communication. We
describe the real-world opportunities, constraints and limitations
imposed by the NAO humanoid robots. We contribute a modeling
approach that differentiates among the motion model of different
objects, in terms of their dynamics, namely the static landmarks
(e.g., goal posts, lines, corners), the passive moving ball, and
the controlled moving robots, both teammates and adversaries.
We present experimental results with the NAO humanoid robots
to illustrate the impact of our multi-humanoid world modeling
approach. The challenges and approaches we present are relevant
to the general problem of assessing and sharing information
among multiple humanoid robots acting in a world with multiple
types of objects.
},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {World Modeling},
bib2html_dl_pdf = {../files/coltinHumanoids2010WorldModeling.pdf},
}
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