The CAR Approach: Creative Applied Research Experiences for Master’s Students in Autonomous Platooning

G. Sidorenko, Wojciech Mostowski, A. Vinel, J. Sjöberg, M. Cooney
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引用次数: 2

Abstract

Autonomous vehicles (AVs) are crucial robotic systems that promise to improve our lives via safe, efficient, and inclusive transport–while posing some new challenges for the education of future researchers in the area, that our current research and education might not be ready to deal with: In particular, we don’t know what the AVs of the future will look like, practical learning is restricted due to cost and safety concerns, and a high degree of multidisciplinary knowledge is required. Here, following the broad outline of Active Student Participation theory, we propose a pedagogical approach targeted toward AVs called CAR that combines Creativity theory, Applied demo-oriented learning, and Real world research context. Furthermore, we report on applying the approach to stimulate learning and engagement in a master’s course, in which students freely created a demo with 10 small robots running ROS2 and Ubuntu on Raspberry Pis, in connection to an ongoing research project and a real current problem (SafeSmart and COVID-19). The results suggested the feasibility of the CAR approach for enabling learning, as well as mutual benefits for both the students and researchers involved, and indicated some possibilities for future improvement, toward more effective integration of research experiences into second cycle courses.
CAR方法:自主队列驾驶硕士生的创造性应用研究经验
自主车辆(AVs)机器人系统至关重要,通过安全承诺改善我们的生活,高效,和包容的transport-while带来一些新的挑战未来的教育研究人员在该地区,我们目前的研究和教育可能没准备好处理:特别是,我们不知道未来的AVs的样子,实际学习是限制由于成本和安全隐患,和高度的多学科知识是必需的。在这里,根据学生积极参与理论的大致框架,我们提出了一种针对自动驾驶汽车的教学方法,称为CAR,它结合了创造力理论、应用演示导向学习和现实世界的研究背景。此外,我们报告了在硕士课程中应用该方法来刺激学习和参与的情况,在该课程中,学生自由地创建了一个演示,其中有10个小型机器人在Raspberry Pis上运行ROS2和Ubuntu,与正在进行的研究项目和当前的实际问题(SafeSmart和COVID-19)有关。研究结果表明,CAR方法在促进学习方面是可行的,对学生和研究人员都有好处,并指出了未来改进的一些可能性,以便更有效地将研究经验整合到第二周期课程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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