Research on pursuit task allocation algorithm of emotional robot based on personality

Fang, Baofu; Wang, Zaijun; Chen, Lu; Wang, Hao

doi:10.1109/cac.2015.7382544

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Liu [28] proposed the emotional contagion model in crowd scenes, studied the behavior of individuals under the influence of emotion, and emphasized the positive effect of managers on emotional contagion in crowded people. In our previous work [29] the emotional contagion was introduced into the task allocation of affective robot and validated the rationality and validity of the model by simulation experiments.…”

Section: A Affective Computingmentioning

confidence: 95%

Task Allocation for Affective Robots Based on Willingness

et al. 2021

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Affection is regarded as a new solution to coordinate task allocation problems in the multirobot system. In this paper, we proposed an interpretable and computational affection model based on willingness and a new personality model named CASE to measure the heterogeneity of the robot. Emotion contagion model is used to calculate affective interaction among robots, and we use willingness to quantify the impact of affective factors on task allocation and as an important factor for task allocation. Task allocation algorithm is designed for affective robots, and simulate the application of the affection model at task allocation by a typical example. It displays the characteristics and novelty of affection in task allocation and to verify the correctness, effectiveness, and novelty of affective robot task allocation algorithm. The result of the simulation experiment shows that affective robots in multi-robot cooperation systems obtain a better solution than rational robots and express the state of the art of task allocation for effective robots.

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Section: A Affective Computingmentioning

confidence: 95%

Task Allocation for Affective Robots Based on Willingness

et al. 2021

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“…And the same set of tasks is assigned to every computer in this group. Then sever finally get an optimal value by comparing the results [5]. The above method may be result in low utilization of computing resources, although it can effectively avoid erroneous results, and the confidence is high.…”

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 pursuit task allocation algorithm of emotional robot based on personality

Cited by 2 publications

References 7 publications

Task Allocation for Affective Robots Based on Willingness

Task Allocation for Affective Robots Based on Willingness

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

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