1. To support our site, MoocLab may be compensated by some course providers through affiliate links.

edX Robotics

Columbia University via edX

Tags:
  • Overview
  1. edX
    Platform:
    edX
    Provider:
    Columbia University
    Length:
    12 weeks
    Effort:
    8 to 10 hours per week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Part of:
    MicroMasters Program: Artificial Intelligence
    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
    • 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
    • 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

    Taught by

    Professor Matei Ciocarlie
    Go to Course:

Share This Page



  1. This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
    By continuing to use this site, you are consenting to our use of cookies.
    Dismiss Notice