Created by:   University of Pennsylvania

  • Daniel Lee

    Taught by:    Daniel Lee, Professor of Electrical and Systems Engineering

    School of Engineering and Applied Science
Basic Info
Course 5 of 6 in the Robotics Specialization.
Commitment4 weeks of study, 3-4 hours/week
Language
English, Subtitles: Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
4.1 stars
Average User Rating 4.1See what learners said
Syllabus

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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 4.1 out of 5 of 148 ratings

Pretty practical course It' ll involve a good amount of programming. Not quiz and theoretical verification here.

Leanring of mechanism and implementation of Kalman filter and particle filter from experiment is very interesting for me. And these method let me know more about map building in SLAM framework.

Here I learnt all the building blocks of Probabilistic Robotics and the significance of statistical methods etc to deal with the the non-linear world.

The course content is very concise and to the point. And, the knowledge transferred is well structured.

It make me to know more!