Emerging Technologies
Hands on Training icon
Hands On Training
Hands on Training icon

Modern Robotics, Course 2: Robot Kinematics

Course Cover

5

(4)

compare button icon

Course Features

icon

Duration

19 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

19 hours

Course Description

Are you interested in learning more about robots? Are you interested in robotics? Do you have the time and desire to master fundamental mathematical modeling techniques used in all areas of robotics?

The "Modern Robotics" specialization could be right for you. This six-course specialization is designed to prepare serious students for advanced study or work in robotics. This is not a sampling course.

In Course 2 of the specialization, Robot Kinematics, you will learn to solve the forward kinematics (calculating the configuration of the "hand" of the robot based on the joint values) using the product-of-exponentials formula. With the tools you have learned, forward kinematics will be easy. Next, velocity kinematics is followed by statics that relate joint velocities to forces/torques.

This course is based on the book Modern Robotics: Mechanics, Planning, and Control (Lynch and Park, Cambridge University Press 2017,). The book can be purchased or you can download the preprint pdf. You'll build a library with robotics software in your preferred language (e.g. Python, Mathematica and MATLAB), and then use V-REP to simulate state-of the-art robots from your home. This simulator is free and requires no financial investment.

Course Overview

projects-img

Hands-On Training,Instructor-Moderated Discussions

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Learn about Modern Robotics, Robot Kinematics

Course Instructors

Author Image

Kevin Lynch

Mechanical Engineering

Kevin Lynch is Professor and Chair of the Mechanical Engineering Department at Northwestern University. He is a member of the Neuroscience and Robotics Lab (nxr.northwestern.edu) and the Northwestern...

Course Reviews

Average Rating Based on 4 reviews

5.0

100%

Course Cover