A decentralized fault-tolerant weights based algorithm for coordination of swarm robots for a disaster scenario

Aniketh, R.; Manohar, E.; Yazwa, G. R. S. Pruthvi Ram; Nithya, M.; Rashmi, M. R.

doi:10.1109/indicon.2016.7839027

Cited by 4 publications

(6 citation statements)

References 12 publications

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“…Husnawati et al [4] developed a robots swarm to identify a gas leak. Aniketh et al [5] set up a swarm to find people who needed help. The literature review by Senanayake et al [6] and Saeedi et al [7] describes most of the algorithms which can locate a target.…”

Section: Localization Of the Targetmentioning

confidence: 99%

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Swarm Robotic Interactions in an Open and Cluttered Environment: A Survey

Vaidis

Otis

2021

Designs

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Recent population migrations have led to numerous accidents and deaths. Little research has been done to help migrants in their journey. For this reason, a literature review of the latest research conducted in previous years is required to identify new research trends in human-swarm interaction. This article presents a review of techniques that can be used in a robots swarm to find, locate, protect and help migrants in hazardous environment such as militarized zone. The paper presents a swarm interaction taxonomy including a detailed study on the control of swarm with and without interaction. As the interaction mainly occurs in cluttered or crowded environment (with obstacles) the paper discussed the algorithms related to navigation that can be included with an interaction strategy. It focused on comparing algorithms and their advantages and disadvantages.

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Section: Localization Of the Targetmentioning

confidence: 99%

“…In [5], the swarm can locate a person in order to warn the emergency services so as to step in. The possibility of location offered by [6] and [7] also helps to warn emergency services if a person in danger is found.…”

Section: Rescuementioning

confidence: 99%

Swarm Robotic Interactions in an Open and Cluttered Environment: A Survey

Vaidis

Otis

2021

Designs

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“…Aniketh and al. [3] set up a swarm to find people who needed help. The literature review by Senanayake and al.…”

Section: Tasks To Domentioning

confidence: 99%

“…In [3], the swarm can locate a person in order to warn the emergency services so as to step in. The possibility of location offered by [4] and [5] also helps warning emergency services if a person in danger is found.…”

Section: Tasks To Domentioning

confidence: 99%

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Human-Rover Interactions and Swarm Algorithms of Mobile Robots in an Open and Crowded Environment: A Survey

Vaidis¹,

Otis²

2020

Preprint

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As a result of extensive research in the field of mobile robots (rovers) and swarms, a number of algorithms exist to assist them for executing a mission in the three levels of software architecture: strategic (interaction loop level), tactic (planning) and operational (sensing, control and actuation). They allow them to achieve their goals while adapting to their environment through a multitude of methods designed for each situation. For this reason, a literature review of the latest research conducted in previous years is required to identify new research trends in human-swarm interaction applied to help humans in hazardous environment such as militarized zone. In this paper, we will present some interesting algorithms for interactive and autonomous mobile robots acting in swarms in an open and crowded environment. A discussion will focus on comparing different algorithms and their advantages and disadvantages.

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Simulation of Expert-system Based Path Planning for Self-propelled Robots

Wang

2017

Smart Science

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A decentralized fault-tolerant weights based algorithm for coordination of swarm robots for a disaster scenario

Cited by 4 publications

References 12 publications

Swarm Robotic Interactions in an Open and Cluttered Environment: A Survey

Swarm Robotic Interactions in an Open and Cluttered Environment: A Survey

Human-Rover Interactions and Swarm Algorithms of Mobile Robots in an Open and Crowded Environment: A Survey

Simulation of Expert-system Based Path Planning for Self-propelled Robots

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