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Systematic Literature Review of Swarm Robotics Strategies Applied to Target Search Problem with Environment Constraints

Zool Hilmi Ismail, Mohd Ghazali Mohd Hamami
2021 Applied Sciences  
Thus, searching for single or multiple targets with swarm robots is a significant and realistic approach.  ...  Robustness, flexibility, and scalability, which are supported by distributed sensing, also make the swarm robots strategy suitable for target searching problems in real-world applications.  ...  in multiple targets searching problems using swarm robotics [35] 2014 6 Swarm robots search for multiple targets based on an improved grouping strategy [36] 2018 4 Target searching and trapping for  ... 
doi:10.3390/app11052383 fatcat:6jbusqxsy5d5lgepoo2j7lwnee

Swarm Robots Search for Multiple Targets

Qirong Tang, Fangchao Yu, Zhipeng Xu, Peter Eberhard
2020 IEEE Access  
This paper addresses the challenge of swarm robots search for multiple targets simultaneously.  ...  Those robot groups which move towards non-aimed targets are applied with penalties thus an unimodal objective function for each robot group is built.  ...  It mainly focuses on investigating strategies and methods for swarm robots multiple targets search in an unknown environment.  ... 
doi:10.1109/access.2020.2994151 fatcat:km67djqgkja6vl5b6bnbhoe6dm

Cooperative Path Planning for Multiple Mobile Robots via HAFSA and an Expansion Logic Strategy

Yiqing Huang, Zhikun Li, Yan Jiang, Lu Cheng
2019 Applied Sciences  
The proposed approach consisted of global path planning and local path planning via HAFSA (hybrid artificial fish swarm algorithm) and an expansion logic strategy.  ...  Simulation experiments were performed to validate the effectiveness of the proposed path planning method for multiple mobile robots.  ...  For holonomic wheeled mobile robots in static environments, an optimal multiple mobile robot path planning method based on adaptive charged system search (CSS) algorithms was addressed [13] .  ... 
doi:10.3390/app9040672 fatcat:avvtq54zbff43fuwm7sj2ujtua

Multi-Target Coordinated Search Algorithm for Swarm Robotics Considering Practical Constraints

You Zhou, Anhua Chen, Xinjie He, Xiaohui Bian
2021 Frontiers in Neurorobotics  
Firstly, according to the target detection situation of swarm robots, an ideal search algorithm framework combining the strategy of roaming search and coordinated search is established.  ...  In order to deal with the multi-target search problems for swarm robots in unknown complex environments, a multi-target coordinated search algorithm for swarm robots considering practical constraints is  ...  First, based on the mechanism of finite state machines, an ideal multi-target search framework for swarm robots is proposed.  ... 
doi:10.3389/fnbot.2021.753052 pmid:34938170 pmcid:PMC8685228 fatcat:sc5jdrlkjfejpkn35lxzhepyfm

Controlling swarm robots for target search in parallel and asynchronously

Songdong Xue, Jianchao Zeng
2009 International journal of Modeling, identification and control  
To control swarm robots with extended particle swarm optimization approach for target search, target signals should be detected and fused as fitness evaluate due to the inherent parallel processing property  ...  ., the communication cycle-based and evolution position-based control strategies are presented in case of target search.  ...  For this end, within the field of swarm robotic systems, one area that has received more attention is target searching, where a group of robots work together to localize one or more targets.  ... 
doi:10.1504/ijmic.2009.030082 fatcat:c57bc3h7kvewlkwjy7o4yqp63y

Search and tracking algorithms for swarms of robots: A survey

Madhubhashi Senanayake, Ilankaikone Senthooran, Jan Carlo Barca, Hoam Chung, Joarder Kamruzzaman, Manzur Murshed
2016 Robotics and Autonomous Systems  
h i g h l i g h t s • Surveys algorithms applicable to swarm robotic systems for target search and tracking. • Identifies variations of the search and tracking problem addressed in the literature. • Discusses  ...  By no means is this an exhaustive review, but an overview for researchers who are new to the swarm robotics field, to help them easily start off their research.  ...  Swarm robotics-an overview SR is the application of swarm intelligence (SI) principles to the control of groups of robots.  ... 
doi:10.1016/j.robot.2015.08.010 fatcat:fmzgbrzcyjef5hgzhvf6ahzmua

Multitarget Search of Swarm Robots in Unknown Complex Environments

You Zhou, Anhua Chen, Hongqiang Zhang, Xin Zhang, Shaowu Zhou
2020 Complexity  
When searching for multiple targets in an unknown complex environment, swarm robots should firstly form a number of subswarms autonomously through a task division model and then each subswarm searches  ...  Based on the probability response principle and multitarget division strategy, a closed-loop regulation strategy is proposed, which includes target type of member, target response intensity evaluation,  ...  for swarm robots based on the simplified virtual-force model in an unknown complex environment.  ... 
doi:10.1155/2020/8643120 doaj:d31fdb18c94a4e4db5fc1de3044805ea fatcat:5y6bbzbx4nbq5nn4abff2w32g4

The multi-target search problem with environmental restrictions in swarm robotics

Jie Li, Ying Tan
2014 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)  
In this paper, we give a comprehensive and detailed introduction of the multi-target search problem in swarm robotics.  ...  Based on some assumptions, we built the idealized models of the basic search problem and three kinds of environmental restrictions.  ...  STRATEGIES FOR SEARCHING In this section, the group explosion strategy (GES) and improved group explosion strategy (IGES) designed for searching multiple targets are explained in detail. A.  ... 
doi:10.1109/robio.2014.7090748 dblp:conf/robio/LiT14 fatcat:quozxhxyivggzgioacuiboefs4

Research Advance in Swarm Robotics

Ying Tan, Zhong-yang Zheng
2013 Defence Technology  
Finally, as a main part of this paper, the current research on the swarm robotic algorithms are presented in detail, including cooperative control mechanisms in swarm robotics for flocking, navigating  ...  and searching applications.  ...  Acknowledgment We would like to thank the National Natural Science Foundation of China under Grant (61375119, 61170057, 60875080) for the Support.  ... 
doi:10.1016/j.dt.2013.03.001 fatcat:eicue46mefeltoyo62fvm5hqdy

Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics [article]

Jian Yang, Yuhui Shi
2021 arXiv   pre-print
The simulation results show that the proposed method can simulate the BSO's guided search characteristics and has an excellent prospect for multi-target searching problems for swarm robotics.  ...  However, when there are multiple targets in an environment to be searched, many swarm intelligence-based methods may converge to specific locations prematurely, making it impossible to explore the environment  ...  Generating an individual from a cluster can refine the search area and improve exploitation capabilities.  ... 
arXiv:2105.13108v1 fatcat:p7b22yufnvhyxolpddcy33ng5q

Collective-adaptive Lévy flight for underwater multi-robot exploration

Donny Sutantyo, Paul Levi, Christoph Moslinger, Mark Read
2013 2013 IEEE International Conference on Mechatronics and Automation  
Finally, Lévy flight's superior performance over the alternative strategies examined here is empirically confirmed through deployment on real-world underwater swarm robotic platforms.  ...  We demonstrate how a novel adaptation strategy, building on the Firefly optimization algorithm, substantially improves Lévy flight performance.  ...  Additionally, we want to thank all members of the projects for fruitful discussions.  ... 
doi:10.1109/icma.2013.6617961 fatcat:q2zau7ieznfqnnrnh2cuaiqf2i

Parallel asynchronous control strategy for target search with swarm robots

Songdong Xue, Jianhua Zhang, Jianchao Zeng
2009 International Journal of Bio-Inspired Computation (IJBIC)  
Upon mapping swarm robots search to particle swarm optimization (PSO), we extend PSO algorithm to model and control swarm robots for target search at an abstract level.  ...  Based on control principle of expected evolution position of individual robot, an asynchronous communication policy for swarm search is presented.  ...  Based on this, an asynchronous communication strategy for interactions among character swarm members is introduced.  ... 
doi:10.1504/ijbic.2009.023811 fatcat:fy7rxih4cbfyxdpoheju4os2o4

A new multiple robot path planning algorithm: dynamic distributed particle swarm optimization

Asma Ayari, Sadok Bouamama
2017 Robotics and Biomimetics  
In this paper, a new dynamic distributed particle swarm optimization (D 2 PSO) algorithm is proposed for trajectory path planning of multiple robots in order to find collision-free optimal path for each  ...  Particles which are unable to improve their personal best and global best for predefined number of successive iterations would be replaced with restructured ones.  ...  Acknowledgements I would like to thank the editor and the anonymous references for their helpful comments. Competing interests The authors declare that they have no competing interests.  ... 
doi:10.1186/s40638-017-0062-6 pmid:29152449 pmcid:PMC5668356 fatcat:enxbxuklpvd4hdutrp4kpti33i

Swarm Foraging Review: Closing the Gap Between Proof and Practice

Qi Lu, G. Matthew Fricke, John C. Ericksen, Melanie E. Moses
2020 Current Robotics Reports  
Purpose of Review We review recent research on swarm robot foraging and contextualize it with foundational work.  ...  Summary In this review we highlight bio-inspired and self-organizing approaches to swarm foraging and contrast them with approaches that can provide theoretical proofs, but which abstract away important  ...  This work was extended in two further papers: a single robot searching for a single target [24] and multiple robots searching for a line [25] .  ... 
doi:10.1007/s43154-020-00018-1 fatcat:aadml5xg2vdhxemp2wahw2z4yu

A Bean Optimization-based Cooperation Method for Target Searching by Swarm UAVs in Unknown Environments

Xiaoming Zhang, Mohsin Ali
2020 IEEE Access  
A cooperative target searching method is proposed for swarm UAVs based on an improved bean optimization algorithm (BOA) called Robot Bean Optimization Algorithm (RBOA).  ...  Based on the above improvements, and by integrating a multi-phase search mechanism and scheduling control strategy, a swarm UAV collaborative search simulation platform is built for experimental purposes  ...  BOA-BASED COOPERATION METHOD FOR TARGET SEARCHING BY SWARM UAVS With the aim of achieving swarm UAV target searching, we designed and constructed the RBOA based on the BOA by adding free motion space,  ... 
doi:10.1109/access.2020.2977499 fatcat:u7swbr2oerc5vibermpdtgranm
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