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Robotics: Aerial Robotics

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduct...
4.5
4.5/5
(2,663 reviews)
105,394 students
Created by

8.7

CourseMarks Score®

N/A

Freshness

8.2

Feedback

8.8

Content

Platform: Coursera
Video: 5h 24m
Language: English

Top Mechanical Engineering courses:

Detailed Analysis

CourseMarks Score®

8.7 / 10

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

Freshness Score

Course content can become outdated quite quickly.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.

Student Feedback

8.2 / 10
We analyzed factors such as the rating (4.5/5) 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.

Content Score

8.8 / 10
Video Score: 8.4 / 10
The course includes 5h 24m 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: 8.0 / 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.
2 tests or quizzes.

Table of contents

Description

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. You will be exposed to the challenges of using noisy sensors for localization and maneuvering in complex, three-dimensional environments. Finally, you will gain insights through seeing real world examples of the possible applications and challenges for the rapidly-growing drone industry.

Mathematical prerequisites: Students taking this course are expected to have some familiarity with linear algebra, single variable calculus, and differential equations.

Programming prerequisites: Some experience programming with MATLAB or Octave is recommended (we will use MATLAB in this course.) MATLAB will require the use of a 64-bit computer.

You will learn

Requirements

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

This course is for

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

How much does the Robotics: Aerial Robotics course cost? Is it worth it?

The course costs $0.
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.

Does the Robotics: Aerial Robotics course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS 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 is the instructor? Is Vijay Kumar a SCAM or a TRUSTED instructor?

Vijay Kumar has created 2 courses that got 186 reviews which are generally positive. Vijay Kumar has taught 105480 students and received a 4.52 average review out of 186 reviews. Depending on the information available, Vijay Kumar is a TRUSTED instructor.
School of Engineering and Applied Science
University of Pennsylvania
Vijay studies collective behaviors in biological and robotic systems. He and his group design novel architectures, create abstractions for systems of interacting individuals, and develop new algorithms for cooperating robots. The overarching themes in his research include modeling nature and developing bio-inspired architectures and algorithms, understanding group/individual dynamics, and the design and composition of controllers for robust, scalable autonomous systems. Vijay’s key challenges include operation in unstructured, dynamic environments, integration of control, communication and perception, and scaling down to smaller sizes with limited actuation, sensing, and computational resources.

8.7

CourseMarks Score®

N/A

Freshness

8.2

Feedback

8.8

Content

Platform: Coursera
Video: 5h 24m
Language: English

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