Increasing Students' Interest With Low-Cost CellBots

Aroca, Rafael Vidal; Gomes, Rafael Beserra; Tavares, Dalton Matsuo; Souza, Anderson; Burlamaqui, Aquiles Medeiros Filgueira; Caurin, Glauco Augusto de Paula; Gonçalves, Luiz Marcos Garcia

doi:10.1109/te.2012.2214782

Cited by 34 publications

(23 citation statements)

References 21 publications

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“…It is freely available 1 and licensed under the LGPL. The server part (running on the robot) is built on ROS, while the client part is a standalone Matlab extension (using the MEX file interface).…”

Section: A General Architecturementioning

confidence: 99%

“…Using robots in engineering and computer science curricula is recognized as an excellent way to stimulate curiosity and motivation among students [1], to provide an unique learning experience [2], while linking theory to practice. It has even been proposed by some that robotics may lead to a new revolution in the way computer science will be taught [3].…”

Section: Introductionmentioning

confidence: 99%

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ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context

Hold-Geoffroy

Gardner

Gagné

et al. 2013

2013 International Conference on Computer and Robot Vision

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Abstract-More and more, robotics is perceived in education as being an excellent way to promote higher quality learning among students, by grounding theoretical concepts into reality. In order to maximize the learning throughput, the focus of any robotics software platform should be on ease of use, with little time spent integrating the components together. To this effect, we introduce ros4mat, an open source library which provides a simple and flexible interface between ROS (Robot Operating System) and Matlab R . The conception is focused on academic use, and allows a very simple integration of sensors and actuators to existing Matlab code. The library is designed to provide an easy, platform-independent, and fast connection between a robot (running ROS) and multiple clients (running only Matlab). Moreover, it is very versatile and can be used with many common types of sensors in robotics, including lowcost ones. We report the results of ros4mat use in a robotics course to provide more real world experimentation, along with some code samples illustrating the simplicity of our approach.

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Section: A General Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context

Hold-Geoffroy

Gardner

Gagné

et al. 2013

2013 International Conference on Computer and Robot Vision

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“…Atualmente estão sendo propostas soluções mais baratas de construção de robôs, de forma a popularizar o estudo da robótica. Uma dessas soluções é o cellbot [1], que basicamente consiste em um robô móvel que se utiliza de um dispositivo móvel como ambiente de execução ou fonte de sensoriamento. A grande vantagem do uso dos cellbots é a popularização dos smartphones na sociedade, a gama de sensores que disponibilizam e o poder de processamento comparável a um computador pessoal.…”

Section: Introductionunclassified

An approach for environment mapping and control of wall follower cellbot through monocular vision and fuzzy system

Farias

Leal

Neto

et al. 2017

2017 XLIII Latin American Computer Conference (CLEI)

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Abstract-This paper presents an approach using range measurement through homography calculation to build 2D visual occupancy grid and control the robot through monocular vision. This approach is designed for a Cellbot architecture. The robot is equipped with wall following behavior to explore the environment, which enables the robot to trail objects contours, residing in the fuzzy control the responsibility to provide commands for the correct execution of the robot movements while facing the adversities in the environment. In this approach the Cellbot camera works as a sensor capable of correlating the images elements to the real world, thus the system is capable of finding the distances of the obstacles and that information is used for the occupancy grid mapping and for fuzzy control input. Experimental results with V-REP simulator are presented to validate the proposal, and the results were favorable to the use in robotics and in acceptable computing time.Index Terms-Occupancy-Grid Mapping, Wall-Following, Fuzzy System, Monocular Vision. I. INTRODUÇÃORobótica móvel é um importante tópico de pesquisa por muitas razões. Entre elas, o surgimento de propostas de soluções para diversas tarefas do dia-a-dia, sejam elas domésticas (aspiradores de pó e cortadores de grama), industriais (Transporte automatizado e veículos de carga autônoma), militares (sistemas de monitoramento aéreo remoto -VANTs, transporte de suprimentos e de armazenamento de zonas de guerra, sistemas táticos de guerra) e segurança pública (controle e patrulhamento de ambientes, resgates e exploração em ambientes hostis).Um dos grandes desafios enfrentados pela robótica é a autonomia. Um sistema robótico é considerado autônomo se é capaz de reconhecer o ambiente na qual está inserido, inferir informações a partir dele, mover-se independentemente, adaptar-se às suas condições, além de ter habilidades de planejamento e raciocínio. Outro grande desafio da robótica é o custo de aquisição tanto dos robôs quanto de seus sensores. Atualmente estão sendo propostas soluções mais baratas de construção de robôs, de forma a popularizar o estudo da robótica. Uma dessas soluções é o cellbot [1], que basicamente consiste em um robô móvel que se utiliza de um dispositivo móvel como ambiente de execução ou fonte de sensoriamento. A grande vantagem do uso dos cellbots é a popularização dos smartphones na sociedade, a gama de sensores que disponibilizam e o poder de processamento comparável a um computador pessoal.Para que um robô possa navegar de formar autônoma pelo ambiente, é necessário que ele seja capaz de construir um mapa usando seus sensores. O Mapeamento de Ambientes consiste em um conjunto de dados coletados através de sensores com o objetivo de gerar, a partir de características do ambiente, um modelo computacional levando em consideração o método de aquisição, o tipo de armazenamento e a estrutura na qual os dados serão armazenados. Dentro desse conceito, os sensores são determinantes na formulação do problema.As primeiras implementações de mapeamento uti...

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“…Traditionally, the main difficulties of robotic experiences have been the monetary setup costs associated -see [1] and [9], and, when the experiences are not conducted by robotics specialists, the lack of specific knowledge of the teachers. A didactic experience involving the cooperation of college teachers (experts in robotics) and secondary education teachers can be found in [6] and didactic experiences involving robotics, whose targets are preservice teachers or teachers, and which have the objective of facilitating their entry in the field of didactic experiences with robots, can be found in [1] and [10].…”

Section: Introductionmentioning

confidence: 99%

Didactic Experiences Involving Mobile Robotics Having Microfactory as Context

Silva¹,

Gonçalves²,

Costa³

2016

EDULEARN Proceedings

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In this paper an analysis of MicroFactory is carried out and its potential for generating a diversified set of didactic experiences is evaluated.MicroFactory is a robotic competition based on a previously existing competition called Robot@Factory. Robot@Factory is a Portuguese robotic competition whose first edition was held in 2011 in Lisbon. The scenario of the competition simulates a factory which has two warehouses, and eight processing machines. The flow of the materials inside the factory starts at the Incoming Warehouse and ends at the Outgoing Warehouse, eventually passing through one or more processing machines. The robots must collect, transport and position the materials along the process, having to self-localize and navigate while avoiding collisions with walls, obstacles and other robots. There is the option of following predefined tracks present on the floor to ease the navigation problem.Robot@Factory poses challenges like dynamic task scheduling, robot cooperation, trajectory planning, robot navigation with obstacle avoidance, robot self-localization and materials identification and manipulation. Related research contributes to improve AGVs (Automated Guided Vehicle systems) technology. Presently this competition is integrated in Festival Nacional de Robótica, a yearly event which attracts lots of public, contributing also to STEM (Science, Technology, Engineering and Mathematics) popularization.MicroFactory was conceived to be low-cost and easily implementable in a small space, be it a classroom or the school robotics club. The ground area of the factory scenario was reduced to approximately one ninth of its original value. The scenario materials were simplified -the floor is now an A0 printed sheet and the warehouses and machines dimensions are so that they can be 3D printed or made out of LEGO TM bricks; both machines and parts had active elements with LEDs and now they are passive. Besides the competition scenario it was also conceived a prototype robot for the competition. It's a 3D printed robot, based on an Arduino board and accessible electronic parts.The creation of this competition is part of a wider Open Source project, aiming to develop projectbased collaborative didactic experiences involving robotics and low-cost 3D printed educational robots based on generic electronics to support those experiences. Currently efforts are being dedicated to the inclusion of more sensors in the competition robot, namely low-cost distance sensors and a weight sensor at the claws, the inclusion of different kinds of motors, the development of a new version of the robot incorporating a Raspberry Pi board, the development of a very precise robot localization system, and the conception of a diversified set of didactic experiences based on the MicroFactory competition.This article presents an analysis of MicroFactory and of its inherent challenges. Through this analysis it will be possible to identify topics that can be taught and learned while developing robots to participate in the competition, a...

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Increasing Students' Interest With Low-Cost CellBots

Cited by 34 publications

References 21 publications

ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context

ros4mat: A Matlab Programming Interface for Remote Operations of ROS-Based Robotic Devices in an Educational Context

An approach for environment mapping and control of wall follower cellbot through monocular vision and fuzzy system

Didactic Experiences Involving Mobile Robotics Having Microfactory as Context

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