arrow
返回

sBotics-Gamified Framework for Educational Robotics

delete2021-04-22
delete9
delete
OA
AI
L
Lucas Moura do Nascimento *
D
Davi Souto Neri
T
Thiago Ferreira
F
Francinaldo de Almeida Pereira
E
Erika Akemi Yanaguibashi Albuquerque
L
Luiz Marcos Garcia Gonçalves
S
Sarah Thomaz de Lima Sá
DOI:10.1007/s10846-021-01364-8delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
This paper proposes a learning framework for Educational Robotics named sBotics, which includes a complete environment for teaching and programming skills acquisition designed for both teachers and K-12 students. Our framework has been developed using a gamified approach with the system and simulated environment developed in the Unity game engine. The main novelty of this platform is its ease-of-use combined with the flexibility to create a variety of scenarios with endless learning potential, in contrast to our evaluations where no alternatives with such characteristics were found for the K-12 range that we are targeting. Also as a contribution of our proposal, robot programs are treated as games that are affected by a disturbance model, which acts in the robotic system and environment variables. This model is introduced in order to approximate what happens in a real robot programming platform. Besides, it is possible for the user, throughout its use, to code in three levels of abstraction: its overly intuitive native programming language called R-Educ, BlockEduc (R-Educ version of Blockly), and C#. Programs can be compiled and interpreted by virtual robots executing any given command. As for teachers, the framework API offers tools that can be employed in the assembly and customization of the learning setup. The whole platform has been built as a tool dedicated to spreading the worlds of Robotics and Programming among youngsters, as well as making them more affordable to everyone. It has been validated by our experiments and is currently being used during the novel Coronavirus pandemic by the official RoboCupJunior Rescue trials in Brazil, currently with more than a thousand competing teams (about 5 thousands students).
Keyword:
Robots
Learning and programming framework
Educational robotics
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

J
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
IF:
2.8
论文数:
3.9K
被引数:
6.9K

机构

Universidade Federal do Rio Grande do Norte 封面图
Universidade Federal do Rio Grande do Norte
学者数:
9.8K
论文数: 5.5K
被引数: 5.2K
引用论文

引用论文

Virtual Mechatronic/Robotic laboratory - A step further in distance learning
err2010-09-01
err51
PREAI
errPotkonjak, Veljko; Vukobratovic, Miomir; Jovanovic, Kosta; Medenica, Miroslav
err分享
err收藏
ROBOMOSP -: ROBOtics MOdeling and simulation platforrn
err2006-12-01
err14
errOAAI
errJaramillo-Botero, Andres; Matta-Gomez, Antonio; Fernando Correa-Caicedo, Juan; Perea-Castro, Wilber
err分享
err收藏
学者 查看更多内容