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Teaching image computation in an upper level elective on robotics

机译:在高级机器人选修课上教授图像计算

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This article offers a case study of how to teach image computation in an upper level elective course on robotics with a significant number of non-Computer Science majors. The MACS 415 course at the Colorado School of Mines is required for the popular Interdisciplinary undergraduate minor in Robotics and AI. It is mandated to provide a Broad survey of the artificial intelligence tools available to roboticists, including image Computation. Teaching image computation in a robotics elective is challenging both because of The limited time that can be spent on computer vision, and because of the attributes Of the students.
机译:本文提供了一个案例研究,说明如何在具有大量非计算机科学专业的机器人技术高级选修课中教授图像计算。广受欢迎的跨学科本科机器人和人工智能专业需要科罗拉多矿业学院的MACS 415课程。它的任务是对机器人手可用的人工智能工具进行广泛的调查,包括图像计算。由于可以在计算机视觉上花费的时间有限,而且由于学生的属性,在机器人选修课中教授图像计算非常具有挑战性。

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