Hunting in Unknown Environments with Dynamic Deforming Obstacles by Swarm Robots

Zhang, Hongqiang; Zhang, Jing; Zhou, Shuwei; Ouyang, P. R.; Wu, Lianghong

doi:10.14257/ijca.2015.8.11.36

Cited by 5 publications

(8 citation statements)

References 18 publications

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“…Zhang and al. [8] have developed in their work an algorithm based on the model of a simplified virtual force for moving a swarm of mobile robots to help with hunting. This model prevents obstacles and robots from colliding with each other.…”

Section: Discussionmentioning

confidence: 99%

“…Zhang and al. [8] have developed a swarm capable of assisting a hunter in locating a target for hunting.…”

Section: Tasks To Domentioning

confidence: 99%

“…[9] have created a swarm capable of intercepting targets which are not desirable in a surveyed zone. In [8], the robot swarm also allows the survey of the zone with the aim of finding prey for hunt.…”

Section: Tasks To Domentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Discussionmentioning

confidence: 99%

“…Zhang and al. [8] have developed a swarm capable of assisting a hunter in locating a target for hunting.…”

Section: Tasks To Domentioning

confidence: 99%

See 1 more Smart Citation

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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“…Fricke et al [9] built immune system T cells to develop a target search algorithm that can be applied to robots swarm. Zhang et al [10] developed a swarm capable of assisting a hunter in locating a target for hunting.…”

Section: Localization Of the Targetmentioning

confidence: 99%

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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“…Zhang et al [36] designed a self-organizing method for swarm robots using simplified virtual-force model for decomposition of hunting behavior in cluttered environment. This control method is used that takes location of target as an input and then decides the motion of swarm robots.…”

Section: Multi-robots Hunting Tasks and Approachesmentioning

confidence: 99%

A novel bio- inspired algorithm for hunting in multi robot scenario

Agrawal

Potdar

2019

IJEECS

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In a multi-robot scenario, cooperative hunting is a key issue when a group of robots are hunting for evader/evaders and when the location of the evader is continuously changing. Cooperative hunting is addressed in this paper by proposing a novel bio inspired Corner Dragging Algorithm (CDA). Corner Dragging Algorithm operates by making an alliance of robots that drag the evader towards any one of the four corners; whichever is closest to the evader. Different shapes of obstacles are avoided during this pursuit. While developing the Corner Dragging Algorithm, we analyze the shortcomings and advantages of some of the existing algorithms including dynamic alliance and formation construction algorithm and incorporate these changes in our design to achieve improved results. Performance of the algorithm is evaluated on the basis of simulation in MATLAB.

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Hunting in Unknown Environments with Dynamic Deforming Obstacles by Swarm Robots

Abstract: In this paper, a self-organizing method, which is based on a simplified virtual-force model

Cited by 5 publications

References 18 publications

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

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

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

A novel bio- inspired algorithm for hunting in multi robot scenario

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