Robotics: Vision Intelligence and Machine Learning
edX
24 Courses
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Overview
Embark on a captivating journey into the realm of robotics with the "Robotics: Vision Intelligence and Machine Learning" course, offered by the prestigious University of Pennsylvania through edX. This engaging course delves deep into how robots perceive, interact with, and learn from their environment through the wonders of visual intelligence and machine learning. Discover the secrets behind a robot's ability to sense and recognize its surroundings, and how it can learn from past experiences by identifying patterns in visual data.
Gain a comprehensive understanding of how machine learning algorithms uncover statistically significant patterns that facilitate sophisticated functions like classification, regression, and clustering. The synergy between Computer Vision and Machine Learning is the cornerstone of developing advanced recognition algorithms that not only learn from a plethora of data but also adapt effortlessly to new settings.
Upon completion, you'll be adept at programming vision capabilities for robots, encompassing crucial skills like localization and object recognition powered by machine learning. Engage in exciting projects using MATLAB and OpenCV, exploring real-world applications such as video stabilization, 3D object recognition, object classifier coding, perceptron building, and crafting a convolutional neural network (CNN) with a popular CNN framework.
This course is a vital component of the Robotics MicroMasters program and caters to those interested in Computer Vision Courses and Engineering Courses. Taught by experts in the field, it promises to equip you with the knowledge and skills necessary to forge ahead in the world of robotics and machine learning.
Syllabus
Taught by
Jianbo Shi, Kostas Daniilidis and Dan Lee