Overview
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.
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
In this Robotics course, part of the Artificial Intelligence MicroMasters program from Columbia University - ColumbiaX you 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.
Programme Structure
Courses include:
- Introduction to Robotics
- Homogenous coordinates and transform representations
- Kinematic chains
- Forward kinematics
- Inverse kinematics: analytical methods
- Differential kinematics: Jacobian computation, singular configurations
Key information
Duration
- Part-time
- 70 days
- 8 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Manhattan, United States
Disciplines
Robotics Artificial Intelligence View 6 other Short Courses in Robotics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 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
Tuition Fees
Additional Details
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