Robotics
Estimation and Learning
Get a Reminder
| Rating | 3.5★ based on 89 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 3-4 hours/week |
| Starts | Jul 3 (42 weeks ago) |
| Cost | $99 |
| From | University of Pennsylvania via Coursera |
| Instructor | Daniel Lee |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Engineering Mathematics |
| Tags | Physical Science And Engineering Mechanical Engineering Math And Logic |
Get a Reminder
Similar Courses
What people are saying
kalman filter
Good course, videos from week 2 and 4 could be better Week 2 kalman filter assignment not clear;Course can be made more clear like Aerial Robotics.
But the other two weeks on Kalman filter and Particle Localization were little disappointing.
This is a really comprehensive course which gave me a good knowledge about Gaussian Model and Kalman Filter ... Good course schedule, but videos in week 2 and week 4 really need some rework.
Good programming exercises but very bad lectures Excellent course in estimation and implementation of Kalman Filters.
Read more
especially the last
The assignment is not designed very well especially the last one.
Difficult course Some more help or examples should have been provided for the programming exercises, especially the last one It was a well timed course with short videos.
Read more
particle filter
This course covers some very important techniques in modern robotics including Kalman filters, mapping, and Particle filters.
Although the course is structured properly, the lectures are horrible, explanation for kalman filter lasts couple of minutes,while in universities the topic is studied and implemented as thesis over 6 months, week 4 also throws very poor insight on particle filter, week1 and week3 were better explained.
Leanring of mechanism and implementation of Kalman filter and particle filter from experiment is very interesting for me.
4 or 5 minute lectures on important concepts such as particle filter and Kalman Filter is not at all adequate.
Wrong formula is shown for one of the important concepts (particle filter).
There are errors in slides and videos are too vague to be helpful, I have to look for external materials to understand the topics (Kalman Filter and Particle Filter).
Read more
very interesting
Great course ,very interesting ,for student with little background like me ,I think more supplemetary materials is needed to get full understanding of such a tough course.thank you,Professor Lee and all the teaching staff.
The material covered is very interesting.
Read more
last one
lecture material
What's there is ok, but there is only a few minutes of lecture material each week.
A tough course with few hours of lecture material and some good programming assignments.You will be satisfied by those assignments however .
Read more
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
State Coordinator 1 $53k
State $63k
State Surveyor- $64k
Department of State $72k
State Broker $75k
State police $80k
State Officer, State Exchanges $84k
Application Development Engineer - Fixed Robots $88k
Application Development Engineer - Fixed Robots $88k
Applications Support Engineer - Fixed Robots $104k
Applications Support Engineer - Fixed Robots $104k
State Treasurer $110k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
| Rating | 3.5★ based on 89 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 3-4 hours/week |
| Starts | Jul 3 (42 weeks ago) |
| Cost | $99 |
| From | University of Pennsylvania via Coursera |
| Instructor | Daniel Lee |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Engineering Mathematics |
| Tags | Physical Science And Engineering Mechanical Engineering Math And Logic |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course
