A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints

An algorithm for distributed exploration in 3D is presented which always keeps the robots within communication range of each other. The method is based on a greedy optimization strategy that uses a heuristic utility function. This makes it computationally very efficient but it can also lead to local...

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Main Authors: Rathnam Ravi Kulan, Birk Andreas
Format: Article
Language:English
Published: De Gruyter 2013-12-01
Series:Paladyn
Subjects:
Online Access:https://doi.org/10.2478/pjbr-2013-0020
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author Rathnam Ravi Kulan
Birk Andreas
author_facet Rathnam Ravi Kulan
Birk Andreas
author_sort Rathnam Ravi Kulan
collection DOAJ
description An algorithm for distributed exploration in 3D is presented which always keeps the robots within communication range of each other. The method is based on a greedy optimization strategy that uses a heuristic utility function. This makes it computationally very efficient but it can also lead to local minimums; but related deadlocks can be easily detected during the exploration process and there is an efficient strategy to recover from them. The exploration algorithm is integrated into a complete control infrastructure for Autonomous Underwater Vehicles (AUV) containing sensors, mapping, navigation, and control of actuators. The algorithm is tested in a high fidelity simulator which takes into account the dynamics of the robot, and simulates the required sensors. The effect of the communication range and the number of robots on the algorithm is investigated.
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spelling doaj.art-798a5292e73440c79c3573cd200573262023-10-02T07:55:44ZengDe GruyterPaladyn2081-48362013-12-014422323210.2478/pjbr-2013-0020A Distributed Algorithm for Cooperative 3D Exploration under Communication ConstraintsRathnam Ravi Kulan0Birk Andreas1Jacobs University Bremen, Campus Ring 1, 28759 Bremen, GermanyJacobs University Bremen, Campus Ring 1, 28759 Bremen, GermanyAn algorithm for distributed exploration in 3D is presented which always keeps the robots within communication range of each other. The method is based on a greedy optimization strategy that uses a heuristic utility function. This makes it computationally very efficient but it can also lead to local minimums; but related deadlocks can be easily detected during the exploration process and there is an efficient strategy to recover from them. The exploration algorithm is integrated into a complete control infrastructure for Autonomous Underwater Vehicles (AUV) containing sensors, mapping, navigation, and control of actuators. The algorithm is tested in a high fidelity simulator which takes into account the dynamics of the robot, and simulates the required sensors. The effect of the communication range and the number of robots on the algorithm is investigated.https://doi.org/10.2478/pjbr-2013-0020exploration robot team multi-agent systems marine robotics autonomous underwater vehicle (auv) habitat mapping
spellingShingle Rathnam Ravi Kulan
Birk Andreas
A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints
Paladyn
exploration
robot team
multi-agent systems
marine robotics
autonomous underwater vehicle (auv)
habitat mapping
title A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints
title_full A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints
title_fullStr A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints
title_full_unstemmed A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints
title_short A Distributed Algorithm for Cooperative 3D Exploration under Communication Constraints
title_sort distributed algorithm for cooperative 3d exploration under communication constraints
topic exploration
robot team
multi-agent systems
marine robotics
autonomous underwater vehicle (auv)
habitat mapping
url https://doi.org/10.2478/pjbr-2013-0020
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