Abstract
Jupyter notebooks are recently emerging as a valuable pedagogical resource in academy, being adopted in educational institutions worldwide. This is mainly due to their ability to combine the expressiveness of traditional explanations from textbooks, with the interaction capabilities of software applications, which provides numerous benefits for both students and lecturers of different fields. One of the areas that could benefit from their adoption is such of mobile robotics, whose recent popularity has resulted in an increasing demand of trained practitioners with a solid theoretical and practical background. Therefore, there is a need of high quality learning materials adapted to modern tools and methodologies. With that in mind, this work explores how the introduction of Jupyter notebooks in undergraduate mobile robotic courses contributes to improve both teaching and learning experiences. For that, we first present a series of (publicly available) educational notebooks encompassing a variety of topics relevant for robotics, with a particular emphasis in the study of mobile robots and commonly used sensors. Those documents have been built from the ground up to take advantage of the Jupyter Notebook framework, bridging the typical gap between theoretical frame and interactive code. We also present a case study describing the notebooks usage in undergraduate courses at University of Málaga, including a discussion on the promising results and findings obtained.
Highlights
Jupyter notebooks are documents combining in the same place narratives with texts, equations, figures, videos, links to additional resources, etc., as well as executable code with visible outputs [1]
In this work we explore the utilization of the Jupyter Notebook technology in undergraduate mobile robotics courses to enhance the experience of both students and lecturers
This paper has explored the utilization of the Jupyter Notebook technology in undergraduate mobile robotics courses
Summary
Jupyter notebooks are documents combining in the same place narratives with texts, equations, figures, videos, links to additional resources, etc., as well as executable code with visible outputs [1]. As a result, they allow for the fast prototyping and development of contents of diverse nature [3] (see Figure 1). They allow for the fast prototyping and development of contents of diverse nature [3] (see Figure 1) They are designed using the Jupyter Notebook application, a web-based development framework part of the Project Jupyter initiative [4]. The early popularity of this tool (back in 2014) was due to its virtues as an ecosystem for doing data science Nowadays it is standing out for the creation of teaching material, since it promotes the achievement of typical learning objectives posed by teaching plans worldwide (acquisition of basic knowledge, ability to evaluate and create, etc.) [3,5]. Movement of a robot using velocity and odometry commands Robot Sensing
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