A Multisensor Robot Distributed Architecture

Benet, G.; Simó, José; Blanes, J. Francisco; Martínez, M.

doi:10.1016/s1474-6670(17)40614-8

Cited by 9 publications

(2 citation statements)

References 2 publications

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“…First is introduced the KertrolBot [26], as is showed on 1(d), a small size micro-controller-based robot which is propelled by a differential locomotion, is equipped with infrared sensors, and disposes of Wi-Fi communications. The goal of the KertrolBot is to provide solutions for small applications due to simplicity of its design and the low computational power.In the second case the Yet Another Intelligent Robot (YAIR), as can be observed in 1(c) [5], offers a similar locomotion but disposes of a bigger structure in which are integrated a screen, some more sensors as a camera or a laser range sensor, and the use of a computer as main operational unit. The YAIR offers a more wide range of applications because of its advanced capabilities and its computing power.…”

Section: Development Platformsmentioning

confidence: 99%

A Hierarchical Hybrid Architecture for Mission-Oriented Robot Control

Muñoz

Munera

Blanes

et al. 2014

ROBOT2013: First Iberian Robotics Conference

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In this work is presented a general architecture for a multi physical agent network system based on the coordination and the behaviour management. The system is organised in a hierarchical structure where are distinguished the individual agent actions and the collective ones linked to the whole agent network. Individual actions are also organised in a hybrid layered system that take advantages from reactive and deliberative control. Sensing system is involved as well in the behaviour architecture improving the information acquisition performance.

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Section: Development Platformsmentioning

confidence: 99%

A Hierarchical Hybrid Architecture for Mission-Oriented Robot Control

Muñoz

Munera

Blanes

et al. 2014

ROBOT2013: First Iberian Robotics Conference

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“…The map building process depends on the number of samples per revolution performed by the sonar system. Different quality maps have been obtained [5]. The computational cost of the map is proportional to the number of samples as it is shown in the Table 2.…”

Section: Application Examplementioning

confidence: 99%

A real-time model of flexible tasks for mobile robotic applications based on a behavioural architecture

Hassan

Buendía²,

Simó³

et al.

1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)

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The design of complex mobile vehicle applications requires the combination of timing constrained activities with deliberate components. One of the main characteristics of the design is the flexibility. The system has to be adapted to the environment conditions and take actions depending on it. This influence is focused in the ability of the system to select the appropriate activity to be executed (depending on the available time) and to change its behaviour (depending on the environment information). The main goal of this paper is to characterise a model of tasks providing the required flexibility. The model has to be powerful enough to represent the functional and timing features of mobile robotic applications based on a behavioural architecture. Behavioural models have been largely used to represent advanced robotic systems which operate in uncertain dynamic environment combining information from several sensory sources and presenting different vehicle dynamics. This paper proposes the use of flexible tasks as a way to implement deliberative components in a behaviour architecture of a robot system and allows noteworthy run-time flexibility for introducing intelligent processes. Another important aspect considered in this paper is concerned to the relationship between the amount of time required by the tasks and the quality of the results obtained.

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