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首页> 外文会议>IEEE Global Engineering Education Conference >Training master students to program both virtual and real autonomous robots in a teaching laboratory
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Training master students to program both virtual and real autonomous robots in a teaching laboratory

机译：培训硕士学生在教学实验室中编制虚拟和真正的自治机器人

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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如何“自主机器人”创新地将机器人介绍给帕多瓦大学计算机工程学院科学生硕士学位。主要贡献是：1）通过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地建立他们的机器人知识库; 2）从移动机器人（简单的Lego Mindstorms NXT）到人形的难度（简单的乐高态度-X和Aldebaran Nao），根据难度的难度分配。由于它们的复杂性，人形over不是一个广泛的教学工具：该课程通过采用遥操作来简化机器人稳定性问题的解决方案; 3）采用开源机器人操作系统框架。该框架鼓励学生实现可重复使用的代码。已通过的方法的有效性已被证明构建了一支成功结束课程的学生团队。该团队正在参与欧洲机器人挑战，并成功完成了挑战的第一阶段。

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