- Platform
- edX
- Provider
- Columbia University
- Effort
- 8 to 10 hours per week
- Length
- 12 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Part of
-
MicroMasters Program: Artificial Intelligence
- Course Link
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.
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 (www.ros.org) 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.
What you'll learn
Taught by
Professor Matei Ciocarlie
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.
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 (www.ros.org) 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.
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
Syllabus
Week 1
Week 1
- Introduction to Robotics
- Homogenous coordinates and transform representations
- Kinematic chains
- Forward kinematics
- Inverse kinematics: analytical methods
- Differential kinematics: Jacobian computation, singular configurations
- Configuration space operation
- Mobile robots
- Differential drive kinematics
- Motion planning in robotics
Taught by
Professor Matei Ciocarlie