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Updating the Content of an AI Course for Students from the Robotics and Automation

人工智能 计算机科学 机器人学 自动化 Python(编程语言) 背景(考古学) 机器人 课程 软件工程 工程类 程序设计语言 机械工程 心理学 古生物学 教育学 生物
作者
Dorian Cojocaru,Liviu Florin Manta,Marian Abagiu,Andrei Dragomir,Alexandru Marin Mariniuc
标识
DOI:10.1109/eaeeie54893.2022.9820433
摘要

The impact of artificial intelligence applications in today’s society is constantly growing. In this context, it is important to adapt the curricula of artificial intelligence courses with an emphasis on the practical applicability of new concepts and methods. At the University of Craiova, Romania, such a course is offered to undergraduate students in Robotics and Automation. The course includes chapters dedicated to problem solving, fuzzy logic, neural networks, and expert systems, with the identification of techniques related to the representation of knowledge and deep learning, respectively. This paper will present how to update the chapter on deep learning, referring to practical applications developed by groups of teachers, researchers and students from the faculty. The following applications are considered. An application is related to the management of a mobile robot that helps people with special needs in terms of control of the lower and upper limbs but who also have specific problems related to their visual system. Another application refers to the use of artificial intelligence techniques in applications for detecting casting defects in car engines. Another chapter that is to be introduced in the course refers to bots - cooperative software robots. The introduction of this chapter is also related to the international presence of an important number of highly successful companies that have been established by Romanian entrepreneurs. The three applications are demonstrated during the practical classes of the artificial intelligence course. Latest hardware platforms (i.e. nVidia Jetson Nano development boards) are used, and trending development environments, languages (Python, C++), and libraries (Numpy, Pandas, Matplotlib, SciKits) are implied. The inclusion of the presentation of these practical applications aims to increase the students' confidence that the knowledge received increases not only their level of theoretical knowledge, but also their chances of being hired by local companies that carry out activities in the field.
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