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Robotics: Computational Motion Planning

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for s...
4.3
4.3/5
(958 reviews)
32,218 students
Created by

8.4

Classbaze Grade®

N/A

Freshness

7.8

Popularity

8.5

Material

Robotics: Computational Motion Planning
Platform: Coursera
Video: 1h 22m
Language: English

Best Mechanical Engineering classes:

Classbaze Rating

Classbaze Grade®

8.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.8 / 10
We analyzed factors such as the rating (4.3/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.5 / 10
Video Score: 7.8 / 10
The course includes 1h 22m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 3 hours 51 minutes of 205 Mechanical Engineering courses on Coursera.
Detail Score: 7.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

4 articles.
0 resource.
0 exercise.
4 tests or quizzes.

In this page

About the course

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot’s behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging.

What can you learn from this course?

What you need to start the course?

The course creator has not defined the requirements for this course.

Who is this course is made for?

The course creator hasn’t defined the level of this course.

Are there coupons or discounts for Robotics: Computational Motion Planning ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $10.1 of 205 Mechanical Engineering courses. So this course is 100% cheaper than the average Mechanical Engineering course on Coursera.

Will I be refunded if I'm not satisfied with the Robotics: Computational Motion Planning course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust CJ Taylor?

CJ Taylor has created 1 courses that got 31 reviews which are generally positive. CJ Taylor has taught 32,218 students and received a 4.31 average review out of 31 reviews. Depending on the information available, we think that CJ Taylor is an instructor that you can trust.
School of Engineering and Applied Science
University of Pennsylvania
Dr. Taylor received his A.B. degree in Electrical Computer and Systems Engineering from Harvard College in 1988 and his M.S. and Ph.D. degrees from Yale University in 1990 and 1994 respectively. Dr. Taylor was the Jamaica Scholar in 1984, a member of the Harvard chapter of Phi Beta Kappa and held a Harvard College Scholarship from 1986-1988. From 1994 to 1997 Dr. Taylor was a postdoctoral researcher and lecturer with the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He joined the faculty of the Computer and Information Science Department at the University of Pennsylvania in September 1997. He received an NSF CAREER award in 1998 and the Lindback Minority Junior Faculty Award in 2001. In 2012 he received a best paper award at the IEEE Workshop on the Applications of Computer Vision. Dr Taylor’s research interests lie primarily in the fields of Computer Vision and Robotics and include: reconstruction of 3D models from images, vision-guided robot navigation and smart camera networks. Dr. Taylor has served as an Associate Editor of the IEEE Transactions of Pattern Analysis and Machine Intelligence. He has also served on numerous conference organizing committees and was a Program Chair of the 2006 edition of the IEEE Conference on Computer Vision and Pattern Recognition and of the 2013 edition of 3DV. In 2012 he was awarded the Christian R. and Mary F. Lindback Foundation Award for Distinguished Teaching at the University of Pennsylvania.

8.4

Classbaze Grade®

N/A

Freshness

7.8

Popularity

8.5

Material

Platform: Coursera
Video: 1h 22m
Language: English

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