The Robot Programming Network

Cervera, Enric; Martinet, Philippe; Marı́n, R.; Moughlbay, Amine Abou; Pobil, Ángel P. del; Alemany, Jaime; Esteller, R.; Casañ, Gustavo A.

doi:10.1007/s10846-015-0201-7

Cited by 15 publications

(17 citation statements)

References 37 publications

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“…The evaluation of each course was made through the use of a final questionnaire (we can see an example in Table 2) to the students and the results have already been published in previous papers like [37,38,41,43,52]. The number of students in the individual experiences was limited from 10 to 40.…”

Section: Discussionmentioning

confidence: 99%

“…. This is a simple 2D simulator [37,38] without physics, initially designed for teaching ROS concepts, but it is also suitable for teaching programming concepts or an introduction to mobile robots. It resembles the Logo turtle [39], but the notion of time (even simulated) makes a significant difference: the velocity of the turtle can be controlled; thus the execution of the code is not immediate but progressive.…”

Section: The Turtle Robotmentioning

confidence: 99%

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The Experience of the Robot Programming Network Initiative

Casañ

Cervera

2018

Journal of Robotics

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Since its creation in 2014, the Robot Programming Network (RPN) has been an environment to learn and teach robotics to the general public, which has also allowed us to learn about education. In this paper, we aim to not only present the RPN and the active courses in the system but also show the evolution of this initiative in front of the changing e-learning environment and its possible future evolution towards Massive Online Open Courses (MOOCs) and cloud simulation.

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Section: Discussionmentioning

confidence: 99%

Section: The Turtle Robotmentioning

confidence: 99%

The Experience of the Robot Programming Network Initiative

Casañ

Cervera

2018

Journal of Robotics

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“…Otras alternativas como The Robot Programming Network (RPN), presentado en Cervera et al (2016), ofrece acceso a herramientas educacionales a través de la web en forma de cursos. Está organizado en lecciones de moodle que introducen diferentes simuladores y conceptos a los estudiantes.…”

Section: Estado Del Arteunclassified

UWSim, un simulador submarino conectado a la nube como herramienta educacional

Pérez

Fornás

Marı́n

et al. 2017

Rev. iberoam. autom. inform. ind.

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ResumenLa creciente demanda social de nuevas aplicaciones de la robótica, desde robots domésticos a coches autónomos, confirma la conveniencia de utilizar dicha tecnología como factor motivante en el contexto educacional. Así, el presente trabajo analiza cómo canalizar esta motivación hacia fines productivos, poniendo elénfasis en las posibilidades que ofrecen los simuladores de robots submarinos. En particular, se propone un entorno de aprendizaje en la nube con un simulador capaz de evaluar al alumno como eje central del sistema. Utilizando este tipo de herramientas tan solo es necesario un dispositivo capaz de acceder a Internet a través de un navegador para alcanzar una cantidad virtualmente ilimitada de recursos. Como caso de estudio, se detallan las mejoras implementadas, en una aplicación de seguimiento de tuberías submarinas, creando un entorno de comparación en la nube que permite a los alumnos competir por obtener el mejor resultado posible. Finalmente, es importante destacar que se aporta una primera experiencia de aplicación en un contexto de enseñanza real de la herramienta propuesta, demostrándose la viabilidad e idoneidad de la misma para el aprendizaje de robótica y ROS.Palabras Clave: Robótica, Educación, Benchmarking, Vehiculos autónomos, Sistemas marinos, Ayudas educacionales, Telerobótica UWSim, an underwater robotic simulator on the cloud as educational tool Abstract Due to the introduction of robotic applications in the modern society, such as service robots or self-driving cars, it is possible to use this trend as motivating factor in the learning process of robotics. Several possibilities about how to use this motivation to increase learning rate are analysed, focusing on underwater robotic simulators. Moreover, a cloud learning environment able to evaluate the students with a robotic simulator is proposed as key element of the system. These kinds of tools can be used with just an Internet-capable system through a web browser, reaching a virtually unlimited amount of resources. The implemented features are used in a underwater pipe following application, creating a comparison environment on the cloud that immerse students in a competition to reach the best possible result. Finally, a first experience in a real educational environment using the proposed tool is detailed, demonstrating the viability and suitability of the proposed tool.Keywords: Robotics, Education, Benchmark examples, Autonomous vehicles, Marine systems, Educational aids, Telerobotics IntroducciónLa simulación de robots altamente precisa es un proceso computacionalmente caro. Requiere un ordenador de altas prestaciones con una tarjeta gráfica para simular el entorno en un tiempo razonable, y más aún si es a tiempo real. Además, la instalación y configuración de todas las librerías necesarias puede desanimar a muchos posibles usuarios, sobre todo si están usando un sistema operativo o dispositivo diferente al recomendado.Esto es especialmente cierto si se pretende realizar múlti-ples experimentos para probar muchas configur...

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“…The robots in the network are connected through the system and have their own true internet similar to other ideas [17], though in this case, they do have a virtual component too.…”

Section: A Robotsmentioning

confidence: 99%

Creating an ambient intelligence network using insight and merged reality technologies

Moseley

2017

2017 Computing Conference

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Abstract-Humans live and work in environments which are essentially "dumb", though recently, due to information networks, devices within these areas have increasingly become connected. The system presented here builds on previous work to create an ambient intelligence zone using facets of a merged reality system and a new process based on recognition/insight patterns. When combined, agents within the system communicate and react as one to form a responsive ambient intelligence at a given location.

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The Robot Programming Network

Cited by 15 publications

References 37 publications

The Experience of the Robot Programming Network Initiative

The Experience of the Robot Programming Network Initiative

UWSim, un simulador submarino conectado a la nube como herramienta educacional

Creating an ambient intelligence network using insight and merged reality technologies

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