Bertacchini Francesca, Scuro Carmelo, Pantano Pietro, Bilotta Eleonora
Department of Mechanics, Energy and Management Engineering, University of Calabria, Rende, Italy.
Laboratory of Cognitive Science and Modelling, Department of Physics, University of Calabria, Rende, Italy.
Front Robot AI. 2022 Mar 7;9:720448. doi: 10.3389/frobt.2022.720448. eCollection 2022.
An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making the functions of the NAO robot as social and autonomous as possible, adopting in the design process the Wolfram Language (WL), from the Mathematica software. Interfacing the programming environment of the NAO with Mathematica, they solved in part the problem of autonomy of the NAO, thus realizing enhanced functions of autonomous movement, recognition of human faces and speech for improving the system social interaction. An external repository was created to streamline processes and stow data that the robot can easily access. Self-assessment processes demonstrated that the course provided students with useful skills to cope with real life problems. Cognitive aspects of programming by WL have also been collected in the students' feedback.
已为电子工程专业的本科生规划了一个教育机器人实验室,采用基于项目的学习(PBL)方法并使用NAO机器人。学生们在研究环境中开展工作,目标是使NAO机器人的功能尽可能具备社交性和自主性,在设计过程中采用来自Mathematica软件的Wolfram语言(WL)。通过将NAO的编程环境与Mathematica连接,他们部分解决了NAO的自主性问题,从而实现了增强的自主运动功能、人脸识别功能以及语音功能,以改善系统的社交互动。创建了一个外部存储库来简化流程并存储机器人可轻松访问的数据。自我评估过程表明,该课程为学生提供了应对现实生活问题的有用技能。学生的反馈中也收集到了关于使用WL进行编程的认知方面的内容。