Foraging behavior analysis of swarm robotics system
Swarm robotics is a number of small robots that are synchronically works together to accomplish a given task. Swarm robotics faces many problems in performing a given task. The problems are pattern formation, aggregation, Chain formation, self-assembly, coordinated movement, hole avoidance, foraging...
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2018-01-01
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Online Access: | https://doi.org/10.1051/matecconf/201714401013 |
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doaj-116da762e0ff4229a2326bf28354a7622021-02-02T08:13:47ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011440101310.1051/matecconf/201714401013matecconf_rimes2017_01013Foraging behavior analysis of swarm robotics systemSakthivelmurugan E.Senthilkumar G.Prithiviraj K. G.Tinu Devraj K. R.Swarm robotics is a number of small robots that are synchronically works together to accomplish a given task. Swarm robotics faces many problems in performing a given task. The problems are pattern formation, aggregation, Chain formation, self-assembly, coordinated movement, hole avoidance, foraging and self-deployment. Foraging is most essential part in swarm robotics. Foraging is the task to discover the item and get back into the shell. The researchers conducted foraging experiments with random-movement of robots and they have end up with unique solutions. Most of the researchers have conducted experiments using the circular arena. The shell is placed at the centre of the arena and environment boundary is well known. In this study, an attempt is made to different strategic movements like straight line approach, parallel line approach, divider approach, expanding square approach, and parallel sweep approach. All these approaches are to be simulated by using player/stage open-source simulation software based on C and C++ programming language in Linux operating system. Finally statistical comparison will be done with task completion time of all these strategies using ANOVA to identify the significant searching strategy.https://doi.org/10.1051/matecconf/201714401013ForagingSwarm RoboticsForaging AlgorithmItem Searching StrategyItem Detection Time |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sakthivelmurugan E. Senthilkumar G. Prithiviraj K. G. Tinu Devraj K. R. |
spellingShingle |
Sakthivelmurugan E. Senthilkumar G. Prithiviraj K. G. Tinu Devraj K. R. Foraging behavior analysis of swarm robotics system MATEC Web of Conferences Foraging Swarm Robotics Foraging Algorithm Item Searching Strategy Item Detection Time |
author_facet |
Sakthivelmurugan E. Senthilkumar G. Prithiviraj K. G. Tinu Devraj K. R. |
author_sort |
Sakthivelmurugan E. |
title |
Foraging behavior analysis of swarm robotics system |
title_short |
Foraging behavior analysis of swarm robotics system |
title_full |
Foraging behavior analysis of swarm robotics system |
title_fullStr |
Foraging behavior analysis of swarm robotics system |
title_full_unstemmed |
Foraging behavior analysis of swarm robotics system |
title_sort |
foraging behavior analysis of swarm robotics system |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
Swarm robotics is a number of small robots that are synchronically works together to accomplish a given task. Swarm robotics faces many problems in performing a given task. The problems are pattern formation, aggregation, Chain formation, self-assembly, coordinated movement, hole avoidance, foraging and self-deployment. Foraging is most essential part in swarm robotics. Foraging is the task to discover the item and get back into the shell. The researchers conducted foraging experiments with random-movement of robots and they have end up with unique solutions. Most of the researchers have conducted experiments using the circular arena. The shell is placed at the centre of the arena and environment boundary is well known. In this study, an attempt is made to different strategic movements like straight line approach, parallel line approach, divider approach, expanding square approach, and parallel sweep approach. All these approaches are to be simulated by using player/stage open-source simulation software based on C and C++ programming language in Linux operating system. Finally statistical comparison will be done with task completion time of all these strategies using ANOVA to identify the significant searching strategy. |
topic |
Foraging Swarm Robotics Foraging Algorithm Item Searching Strategy Item Detection Time |
url |
https://doi.org/10.1051/matecconf/201714401013 |
work_keys_str_mv |
AT sakthivelmurugane foragingbehavioranalysisofswarmroboticssystem AT senthilkumarg foragingbehavioranalysisofswarmroboticssystem AT prithivirajkg foragingbehavioranalysisofswarmroboticssystem AT tinudevrajkr foragingbehavioranalysisofswarmroboticssystem |
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1724297656484757504 |