Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics

Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics

This paper presents a new approach for cooperative search of a robot swarm. After modeling the robot, the mechanical Particle Swarm Optimization method is conducted based on physical robot properties. Benefiting from the effective localization and navigation by sensor data fusion, a mixed robot swar...

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Main Authors: Qirong Tang, Peter Eberhard
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2013/284782
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spelling doaj-4592c59db9da4015b26edcd1407bb13d2020-11-25T02:55:15ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322013-01-01510.1155/2013/28478210.1155_2013/284782Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System DynamicsQirong TangPeter EberhardThis paper presents a new approach for cooperative search of a robot swarm. After modeling the robot, the mechanical Particle Swarm Optimization method is conducted based on physical robot properties. Benefiting from the effective localization and navigation by sensor data fusion, a mixed robot swarm which contains both simulated and real robots is then successfully used for searching a target cooperatively. With the promising results from experiments based on different scenarios, the feasibility, the interaction of real and simulated robots, the fault tolerance, and also the scalability of the proposed method are investigated.https://doi.org/10.1155/2013/284782
collection DOAJ
language English
format Article
sources DOAJ
author Qirong Tang
Peter Eberhard
spellingShingle Qirong Tang
Peter Eberhard
Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
Advances in Mechanical Engineering
author_facet Qirong Tang
Peter Eberhard
author_sort Qirong Tang
title Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
title_short Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
title_full Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
title_fullStr Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
title_full_unstemmed Cooperative Search by Combining Simulated and Real Robots in a Swarm under the View of Multibody System Dynamics
title_sort cooperative search by combining simulated and real robots in a swarm under the view of multibody system dynamics
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2013-01-01
description This paper presents a new approach for cooperative search of a robot swarm. After modeling the robot, the mechanical Particle Swarm Optimization method is conducted based on physical robot properties. Benefiting from the effective localization and navigation by sensor data fusion, a mixed robot swarm which contains both simulated and real robots is then successfully used for searching a target cooperatively. With the promising results from experiments based on different scenarios, the feasibility, the interaction of real and simulated robots, the fault tolerance, and also the scalability of the proposed method are investigated.
url https://doi.org/10.1155/2013/284782
work_keys_str_mv AT qirongtang cooperativesearchbycombiningsimulatedandrealrobotsinaswarmundertheviewofmultibodysystemdynamics
AT petereberhard cooperativesearchbycombiningsimulatedandrealrobotsinaswarmundertheviewofmultibodysystemdynamics
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