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Kinematics

Modern Robotics: Mechanics, Planning, and Control,

The movement of bodies in space (like spacecraft, satellites, and space stations) must be predicted and controlled with precision in order to ensure safety and efficacy. Kinematics is a field that develops descriptions and predictions of the motion of these bodies in 3D space. This course in Kinematics covers four major topic areas: an introduction to particle kinematics, a deep dive into rigid body kinematics in two parts (starting with classic descriptions of motion using the directional cosine matrix and Euler angles, and concluding with a review of modern descriptors like quaternions and Classical and Modified Rodrigues parameters). The course ends with a look at static attitude determination, using modern algorithms to predict and execute relative orientations of bodies in space. After this course, you will be able to... * Differentiate a vector as seen by another rotating frame and derive frame dependent velocity and acceleration vectors * Apply the Transport Theorem to solve kinematic particle problems and translate between various sets of attitude descriptions * Add and subtract relative attitude descriptions and integrate those descriptions numerically to predict orientations over time * Derive the fundamental attitude coordinate properties of rigid bodies and determine attitude from a series of heading measurements

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Rating 4.7 based on 31 ratings
Length 5 weeks
Effort Best completed in 4 weeks, with a commitment of between 3 and 6 hours of work per week.
Starts Jul 17 (45 weeks ago)
Cost $99
From University of Colorado Boulder, Google Cloud, Northwestern University via Coursera
Instructors Hanspeter Schaub, Google Cloud Training, Kevin Lynch
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Engineering Science IT & Networking
Tags Computer Science Algorithms Software Development Physical Science And Engineering Mechanical Engineering Physics And Astronomy Computer Security And Networks Cloud Computing Information Technology

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What people are saying

coordinate systems

In this course you will cover the necessary engineering physics to describe orbiting and rotating reference frames, attitude coordinate systems, and methods for determining spacecraft attitude from on-board sensors.My educational background is from outside an aerospace engineering department, and I had no problem keeping up.

The concept of generalized/canonical coordinate systems never made sense to me until this class, where for some reason the explanation just clicked and I knew how it worked like flipping a switch.

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prof schaub

Given the advanced nature of this subject, Prof Schaub has successfully carved out an extremely neat course structure.

Prof Schaub does an excellent job of filling in the gaps in the text and making it more understandable, but it does really, really help to have the book to work through along with the class.

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very good

Very good material and exercises!

Fantastic course with a fantastic lecturer Very good course!

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attitude determination

The topics covered in attitude determination were also valuable and gave an insight in how attitude determination is done on spacecrafts through multiple sensors.

Very useful compilation of attitude determination math.

working through

Matlab, Mathematica) This is a great course for working through the book, "Analytical Mechanics of Space Systems" that I've owned for many years but never got around to working through it at the level of detail involved in working through the problems on paper, instead of just in my head.

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Rating 4.7 based on 31 ratings
Length 5 weeks
Effort Best completed in 4 weeks, with a commitment of between 3 and 6 hours of work per week.
Starts Jul 17 (45 weeks ago)
Cost $99
From University of Colorado Boulder, Google Cloud, Northwestern University via Coursera
Instructors Hanspeter Schaub, Google Cloud Training, Kevin Lynch
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Engineering Science IT & Networking
Tags Computer Science Algorithms Software Development Physical Science And Engineering Mechanical Engineering Physics And Astronomy Computer Security And Networks Cloud Computing Information Technology

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