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Interdisciplinary Teaching with the Versatile Low-Cost Modular Robotic Platform EDMO

机译:跨学科教学与多功能低成本模块化机器人平台EDMO

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The field of robotics embraces the interconnection of a variety of disciplines not only in research but also in teaching. For students this interconnection of disciplines can provide a different quality of understanding of theory and practice since it allows breaching, recapitulating, and interlinking knowledge and skills that otherwise might be taught only separately in a variety of well-contained courses. This paper describes the approach and material of a successfully running robotics course at Maastricht University that provides students with the opportunity to study and develop locomotion control with central pattern generators on a custom-made, low-cost, versatile EDucational MOdular robotic platform called EDMO. For these studies, students follow the chain of research and development from neuroscience over mathematical modeling, control theory, programming embedded systems, to the experimentation with robotic hardware that is supported by approaches from optimization and machine learning for optimal control parameter identification. The course thus interconnects a variety of disciplines and provides students with insights for instance into locomotion control and learning and provides a vivid view on aspects of numerical mathematics and calculus. We share teaching material and hardware design files for this course that is highly appreciated by our students in the hope that other teachers and students can benefit.
机译:机器人领域不仅拥有各种学科的互连,不仅在研究中,还包括教学。对于学生来说,这种互连可以提供不同的理论和实践的理解质量,因为它允许违反,重新制作和相互关联的知识和技能,否则可能只能在各种良好的课程中单独教授。本文介绍了Maastricht大学成功运行的机器人学课程的方法和材料,为学生提供了学习和开发带有中央图案发电机的机车控制,以叫做EDMO的定制,低成本,多功能的教育模块化机器人平台。对于这些研究,学生遵循神经科学的研究和开发链,通过数学建模,控制理论,编程嵌入式系统,通过从优化和机器学习的方法支持的机器人硬件来实现,以获得最佳控制参数识别。因此,该课程互连各种学科,并为学生提供洞察,例如在运动控制和学习中,并对数学数学和微积分的各方面提供生动的观点。我们分享了本课程的教学材料和硬件设计文件,这些课程受到我们学生的高度赞赏,希望其他教师和学生可以受益。

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