Created by:  University of Pennsylvania

  • Kostas Daniilidis

    Taught by:  Kostas Daniilidis, Professor of Computer and Information Science

    School of Engineering and Applied Science

  • Jianbo Shi

    Taught by:  Jianbo Shi, Professor of Computer and Information Science

    School of Engineering and Applied Science
Basic Info
Course 4 of 6 in the Robotics Specialization.
LevelIntermediate
Commitment4 weeks of study, 3-5 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
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Ratings and Reviews
Rated 4.4 out of 5 of 237 ratings

This course is interesting and very thorough. Some concepts of robot perception are explained in detail, with a focus on perception based on 2D vision. The videos are clear and there is a great number of quizzes and Matlab programming to improve your practical understanding of the topic. Be warned, though, that this course takes longer than 4 weeks in fact due to the numerous and long lectures.

The course is very important for any student / engineer working in the field of robotics. It gives a lot of detailed information about the background needed as well as some hands-on experience with the basic tools in computer vision. A very good point is connecting what we study in the course with some real applications.

Course is unusually difficult compared to the others in the series. You'll learn plenty of stuff, though, which is useful not just in robotics itself but many other applications with a mobile camera (such as stitching panoramas taken with your phone, or producing CGI).

The content is not very easy to understand because the lecture speaks very fast and the document is not very sufficient. But in all, the content is good, help me with my research.