Research on Multirobot Pursuit Task Allocation Algorithm Based on Emotional Cooperation Factor

Fang, Baofu; Lu, Chen; Wang, Hao; Dai, Shuanglu; Zhong, Qiubo

doi:10.1155/2014/864180

Cited by 12 publications

(12 citation statements)

References 8 publications

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“…The authors of [21,22,23,24,25] propose emotional models in the context of multi-agent systems, where the emotional spectrum is reduced to a set. In the context of multi-robot systems, [9,10,11] are some of the works about the emotions.…”

Section: Our Emotional Modelmentioning

confidence: 99%

“…The authors of [7] define a hybrid approximation for multi-robot systems; work [8] proposes an algorithm based on the human immunological system for the cooperative transportation of objects. Other works have added emotions to the robots in the system; in [9,10,11,12,13] are specified emotions in multi-robot systems, to consider the influence of them in the decision making of each robot. On the other hand, the learning and recognition also have been analyzed in multi-robot systems [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…With the emotional capability, each robot can distinguish the changed environment, can react adapting it, and also, can understand the colleague robot's state. In [11], the authors propose an emotional model for robots, which measures the individual cooperative willingness in the problem of multi-robot task allocation. In this way, the emotions are used as a factor in the assignment of tasks, such that the communication between individuals is affected by the emotional state that can be recognized in the others.…”

Section: Introductionmentioning

confidence: 99%

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An emotional model for swarm robotics

Gil¹,

Puerto²,

Aguilar³

et al. 2019

CLEIej

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Swarm robotics is a system of multiple robots where a desired collective behavior emerges from the interactions between the robots and with the environment. This paper proposes an emotional model for the robots, to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each robot based on the level of satisfaction of its basic needs. These emotions lie on a spectrum where depending where the emotion of the robot lies, can affect its behavior and of its neighboring robots. The more negative the emotion is, the more individualistic it becomes in its decisions. The more positive the robot is in its emotion, the more it will consider the group and global goals. Each robot is able to recognize another robot's emotion in the system based on their current state, using the AR2P recognition algorithm. Specifically, the paper addresses emotions’ influence on the behavior of the system, at the individual and collective levels, and the emotions’ effects on the emergent behaviors of the multi-robot system. The paper analyses two emergent scenarios: nectar harvesting and object transportation, and shows the importance of the emotions into the emergent behavior in a multi-robot system

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Section: Our Emotional Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An emotional model for swarm robotics

Gil¹,

Puerto²,

Aguilar³

et al. 2019

CLEIej

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show abstract

“…The most important branch of WeChat is the support of network transmission services, which can quickly send voice messages and text messages through the Internet. This situation provides powerful platform support and user protection for legal robots based on WeChat R&D, and also provides corresponding technical support [2].…”

Section: Introductionmentioning

confidence: 99%

Exploration of WeChat-based Legal Robot

Lu¹

2018

Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering &Amp; Science (MEEES 2018)

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To study the legal robot based on WeChat, the construction and implementation of the model-based Chinese pronoun digestion overall algorithm framework were elaborated. Then, the overall structure, module design and system display of the system were introduced in detail, and pronoun resolution and omission recovery module were explained. In practice, the long-term and short-term memory network model learning suitable for serialization input was used to express the deep characteristics of the context and applied to the Chinese pronoun resolution and omission recovery tasks respectively. In addition, the effectiveness of the Chinese pronoun disambiguation technology and the pronoun ellipsis recovery technology in the intelligent robot system was discussed, and a targeted analysis and optimization of the semantic complement task were made. Finally, an intelligent legal robot system based on the WeChat platform was realized.

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“…How to organize and improve cooperation mechanisms between computers? In order to manage these computers, we need more effective division management module and allocation module of tasks [1].…”

Section: Introductionmentioning

confidence: 99%

A Task Allocation Algorithm with Weighted Average Velocity Based on Online Active Period

2017

CEIS

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In some complex scientific calculation, the resources of the calculation are very large. To a certain extent, the improvement of the computer level has met the needs of many computing, but a lot of more complex calculation cannot still be effectively resolved. Volunteer computing is a computational method that divides the complexity of computing tasks into simple subtasks, and collects the results of volunteer computing resources to solve the subtasks. In this calculation process, the task assignment module is an extremely important part of the whole computing platform. Many of the existing task allocation algorithms (TAA) are used to group by the similar conditions of the volunteer computer. TAA used in this work grouped by the computers with similar online active period, and the computation efficiency is improved by using the weighted average velocity as a parameter. The experimental results showed that TAA with the weighted average velocity based on online active period can effectively improve the performance of the volunteer computing platform.

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Research on Multirobot Pursuit Task Allocation Algorithm Based on Emotional Cooperation Factor

Cited by 12 publications

References 8 publications

An emotional model for swarm robotics

An emotional model for swarm robotics

Exploration of WeChat-based Legal Robot

A Task Allocation Algorithm with Weighted Average Velocity Based on Online Active Period

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