SPArK-Bot: An Educational Robotic Platform

Parikh, Parth; Kalamdane, Shantanu; Rasal, Akash S.; Mundada, Khushboo; Kalshetti, Urmila

doi:10.1109/educon52537.2022.9766694

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…As mobile robot technology continues to improve, increased researchers are working on developing mobile robots suitable for different tasks. For example, the Fraunhofer Institute developed a mobile robot [15], KUKA iisy, developed by KUKA, and the Spark robot, developed by NXROBO [16]. Robots suitable for the construction industry have not only demonstrated the potential to increase construction productivity but have also shown the ability to address issues such as labor shortages and safety risks in the construction sector [17,18].…”

Section: Literature Review 21 Mobile Intelligent Constructionmentioning

confidence: 99%

Research on Positioning and Simulation Method for Autonomous Mobile Construction Platform

Shi,

Wang,

Phillips

et al. 2024

Buildings

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In the architecture, engineering, and construction (AEC) industry, the positioning technology for a mobile construction platform (MCP) is critical to achieve on-site, continuous, large-scale construction. During construction, MCP movement and construction actions seldom occur simultaneously. Therefore, this paper categorizes the MCP into stationary and moving states for positioning studies, respectively. When the platform is stationary, it is positioned using an improved ultra-wideband (UWB) sensor. When the platform is in motion, a single UWB positioning technique cannot meet the required accuracy for positioning, and fusion positioning using both UWB and an inertial measurement unit (IMU) is considered. The experimental results show that compared with only UWB positioning, the improved UWB positioning algorithm improves the positioning accuracy by 53% in the stationary state, and the fused UWB/IMU positioning improves the positioning accuracy by 46% in the moving state. As a result, the positioning accuracy of the MCP is significantly improved regardless of whether it is in a stationary or moving state. Furthermore, this paper integrates the positioning technique with the robotic arm construction technique to successfully simulate an on-site continuous construction of a wooden cabin, which provides the potential for large-scale continuous construction in real-world scenarios in the future.

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Section: Literature Review 21 Mobile Intelligent Constructionmentioning

confidence: 99%

Research on Positioning and Simulation Method for Autonomous Mobile Construction Platform

Shi,

Wang,

Phillips

et al. 2024

Buildings

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“…Parikh et al present the results found in the process of developing and evaluating the SPArK-Bot, an educational robot designed to assist in learning programming and robotics concepts [23]. The authors also used SUS to assess the developed prototype, obtaining positive evaluations from the assessors.…”

Section: Related Workmentioning

confidence: 99%

Developing Computational Thinking in Middle School with an Educational Robotics Resource

Costa Junior,

Guedes,

Lima e Silva

et al. 2024

J Intell Robot Syst

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Computational Thinking has been recognized as an essential skill to be developed in individuals of the 21st Century. Various initiatives worldwide have been proposed to establish the most effective educational strategies and resources to support the development of these skills. With the publication of the Standards for Computing in Basic Education in Brazil (Complement to the National Base Common Curricular), Computer Science is expected to be taught as a fundamental science from Early Childhood Education to High School. In this context, this study presents the results of the students’ learning and the usability evaluation of the ThinkCarpet: an interactive educational robotics artifact built using alternative materials and Arduino, with the purpose of aiding in the development of the concept of algorithms in students from Middle School. Regarding the students’ learning, an average of 93.75% of valid solutions was observed for the algorithms validated through the use of the ThinkCarpet. In contrast, only 62% of valid solutions were identified in activities outside the proposed resource. As for the results of the application of the System Usability Scale (SUS), the results show a score of 83.59, which classifies the ThinkCarpet as excellent in a realistic scenario.

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“…En (Chatzopoulos et al, 2022) desarrollaron una plataforma robótica de código abierto pata aplicaciones educativas bajo el Modelo de Aceptación de la Tecnología (en inglés TAM), específicamente en términos de facilidad de empleo para profesores. El desarrollo de "SPArK-Bot", un robot educativo que combina la versatilidad de la Raspberry Pi con la simplicidad del Arduino, se puso en práctica para tratar de mejorar las habilidades de programación en los alumnos y elevar su aprendizaje en esta área de estudio como se muestra en (Parikh et al, 2022). Para (Mohanavel et al, 2022) se diseña un robot móvil controlado por medio de un protocolo de comunicación bluetooth entre un teléfono inteligente con sistema operativo android y el robot, con lo cual es posible que los alumnos repliquen el propio a bajo costo.…”

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Dispositivo de bajo costo para la enseñanza-aprendizaje de la robótica

Hernandez-Oliva

Alcántara-Sánchez

Islas-Ortiz

et al. 2022

ICBI

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En este trabajo se presenta la implementación de un dispositivo, integrado por un modelo de robot a escala obtenido mediante impresión 3D de tipo FDM (Fuse Desposition Modeling) tomando como base un robot ABB IRB 460 industrial y una tarjeta programable Arduino UNO R3, el cual puede ser utilizado para la enseñanza de la robótica a nivel superior. Para ello se obtuvo el modelo cinemático del robot a escala, el cual se uso como dispositivo de prueba cuando no es posible tener acceso a un robot real. Por ese motivo se programó en Matlab el cálculo de la cinemática directa propia del robot empleando el método de Denavit-Hartenberg, misma que puede ser programada en la tarjeta Arduino conectado al robot. Una vez concluidas las pruebas, se demostró que los resultados obtenidos son similares. Además, es posible realizar dichas validaciones a la par, a partir de la modificación de los parámetros del robot en cada uno de los respectivos programas, permitiendo a los alumnos la interacción con un modelo a escala y su manipulación cuando no es posible tener el robot real. También permite incluir otro tipo de programas conforme avance su curso y de igual forma ser validados con este mismo esquema desarrollado.

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SPArK-Bot: An Educational Robotic Platform

Cited by 4 publications

References 16 publications

Research on Positioning and Simulation Method for Autonomous Mobile Construction Platform

Research on Positioning and Simulation Method for Autonomous Mobile Construction Platform

Developing Computational Thinking in Middle School with an Educational Robotics Resource

Dispositivo de bajo costo para la enseñanza-aprendizaje de la robótica

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