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Training master students to program both virtual and real autonomous robots in a teaching laboratory

机译:在教学实验室中培训硕士生编程虚拟和真实自主机器人

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The paper describes how the graduate course "Autonomous Robotics" innovatively introduces robotics to Master of Science students of the Faculty of Computer Engineering of the University of Padova (Italy). The main contributions are: 1) The adoption of a Project-Based Learning constructivist approach. This teaching methodology makes students able to autonomously build their robotic knowledge base; 2) The assignment of laboratory experiences according to an increasing difficulty, from mobile robots (the simple Lego Mindstorms NXT) to humanoids (the Vstone Robovie-X and the Aldebaran NAO). Humanoids are not a widespread teaching tool because of their complexity: the course simplifies the resolution of the robots stability problem by adopting teleoperation; 3) The adoption of the open-source Robot Operating System framework. The framework encourages students to implement reusable code. The effectiveness of the adopted approach has been proven building a team of students that had successfully concluded the course. The team is participating in the European Robotics Challenges and has successfully accomplished the challenge's first stage.
机译:本文介绍了研究生课程“自主机器人”如何创新地向意大利帕多瓦大学(University of Padova)计算机工程学院理学硕士课程的学生介绍了机器人技术。主要贡献是:1)采用基于项目的学习建构主义方法。这种教学方法使学生能够自主建立自己的机器人知识库。 2)从移动机器人(简单的Lego Mindstorms NXT)到类人动物(Vstone Robovie-X和Aldebaran NAO),根据不断增加的难度分配实验室经验。由于类人动物的复杂性,它不是一种广泛的教学工具:该课程通过采用遥距操作简化了机器人稳定性问题的解决; 3)采用开源机器人操作系统框架。该框架鼓励学生实施可重用的代码。已经证明了采用这种方法的有效性,可以建立一个成功完成课程的学生团队。该团队正在参加“欧洲机器人挑战赛”,并成功完成了挑战赛的第一阶段。

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