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

Coursera Modern Robotics, Course 4: Robot Motion Planning and Control

Northwestern University via Coursera

Tags:
  • Overview
  1. Coursera
    Platform:
    Coursera
    Provider:
    Northwestern University via Coursera
    Length:
    4 weeks
    Effort:
    4-7 hours a week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Part of:
    Modern Robotics: Mechanics, Planning, and Control Specialization
    Overview
    Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?

    If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study. It is not a sampler.

    In Course 4 of the specialization, Robot Motion Planning and Control, you will learn key concepts of robot motion generation: planning a motion for a robot in the presence of obstacles, and real-time feedback control to track the planned motion. Chapter 10, Motion Planning, of the "Modern Robotics" textbook covers foundational material like C-space obstacles, graphs and trees, and graph search, as well as classical and modern motion planning techniques, such as grid-based motion planning, randomized sampling-based planners, and virtual potential fields. Chapter 11, Robot Control, covers motion control, force control, and hybrid motion-force control.

    This course follows the textbook "Modern Robotics: Mechanics, Planning, and Control" (Lynch and Park, Cambridge University Press 2017). You can purchase the book or use the free preprint pdf. You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.

    Syllabus
    Chapter 10: Motion Planning (Part 1 of 2)
    C-space obstacles, graphs and trees, and A* graph search.

    Chapter 10: Motion Planning (Part 2 of 2)
    Motion planning on a discretized C-space grid, randomized sampling-based planners, virtual potential fields, and nonlinear optimization.

    Chapter 11: Robot Control (Part 1 of 2)
    First- and second-order linear error dynamics, stability of a feedback control system, and motion control of robots when the output of the controller commands joint velocities.

    Chapter 11: Robot Control (Part 2 of 2)
    Motion control of robots when the output of the controller commands joint torques, force control, and hybrid motion-force control.

    Taught by
    Kevin Lynch

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