Graduatehttps://www.youtube.com/watch?v=3lGt9Th8EA4Every SpringPerception for Autonomous RobotsThis course teaches fundamentals of computer vision applied to mobile robots. During this course, the student will learn beginner to intermediate skills related to how the robot can interpret the world using images. Students will learn how to solve real-world perception problems from the lecture notes and from working on their projects. This course gives the students a solid background in perception by teaching them algorithms and high-level concepts. In order for the students to be able to work on their projects they must have a good background in programming/coding, particularly, in Python programming language. Students are required to be able to write a code that would implement the algorithms taught in the class. Students who do not have a good background in programming will find it very difficult to finish the projects on time.
At the very least, a student should be able to do the following in Python as a prerequisite.
• Understand variables and data types
• Work with classes and functions
• Understand how to work with Matrices and Vectors
• Be able to perform basic mathematical operations on Matrices and Vectors (using NumPy library)
• Be able to plot data and visualize it (matplotlib library is recommended)
Additionally, students are encouraged to be familiar with standard computer vision libraries such as OpenCV or PIL (Python Image Library).Engineering Artificial IntelligenceRobotics
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