Robotics (edX)

Robotics (edX)
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Robotics (edX)
Learn the core techniques for representing robots that perform physical tasks in the real world. We think of Robotics as the science of building devices that physically interact with their environment. The most useful robots do it precisely, powerfully, repeatedly, tirelessly, fast, or some combinations of these. The most interesting robots maybe even do it intelligently. This course will cover the fundamentals of robotics, focusing on both the mind and the body.

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We will learn about two core robot classes: kinematic chains (robot arms) and mobile bases. For both robot types, we will introduce methods to reason about 3-dimensional space and relationships between coordinate frames. For robot arms, we will use these to model the task of delivering a payload to a specified location. For mobile robots, we will introduce concepts for autonomous navigation in the presence of obstacles.

Class projects will make use of ROS - the open-source Robot Operating System widely used in both research and industry. Computer requirements for working on the projects will include a computer set up with Ubuntu Linux and high bandwidth internet access for downloading and installing ROS packages.

This course is part of the Artificial Intelligence MicroMasters Program.


What you'll learn:

- Represent 2D and 3D spatial relationships, homogeneous coordinates

- Manipulate robot arms: kinematic chains, forward and inverse kinematics, differential kinematics

- Program and navigate mobile robots: robot and map representations, motion planning

- Plan complete robot systems

- Develop present and future applications for robots


Course Syllabus


Week 1

Introduction to Robotics

Homogenous coordinates and transform representations


Week 2

Kinematic chains

Forward kinematics


Week 3

Inverse kinematics: analytical methods


Week 4

Differential kinematics: Jacobian computation, singular configurations


Week 5

Configuration space operation


Week 6

Mobile robots

Differential drive kinematics


Week 7

Motion planning in robotics


Prerequisites:

- College-level introductory linear algebra (vector spaces, linear systems, matrix decomposition)

- College-level introductory calculus (partial derivatives, function gradients)

- Basic knowledge of computer programming (variables, functions, control flow)

- Projects will be carried out in the Python language, with C++ as an option



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Course Auditing
206.00 EUR

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.