Modern Robotics, Course 1: Foundations of Robot Motion
This course is part of Modern Robotics: Mechanics, Planning, and Control.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Modern Robotics: Mechanics, Planning, and Control Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand robot configurations and degrees of freedom
Master rigid-body motion mathematics and transformations
Analyze configuration space topology and constraints
Work with spatial velocities and forces using twists and wrenches
Develop practical skills using robotics software and simulators
Skills you'll gain
This course includes:
1.13 Hours PreRecorded video
21 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course covers the fundamental concepts of robot motion, focusing on configuration space and rigid-body movements. Students learn about degrees of freedom, configuration space topology, and spatial mathematics including rotation matrices and transformation matrices. The curriculum includes hands-on programming using the Modern Robotics library and CoppeliaSim robot simulator, providing practical experience with state-of-the-art robotics concepts.
Introduction to Modern Robotics
Module 1 · 3 Hours to complete
Configuration Space (Part 1 of 2)
Module 2 · 3 Hours to complete
Configuration Space (Part 2 of 2)
Module 3 · 4 Hours to complete
Rigid-Body Motions (Part 1 of 2)
Module 4 · 6 Hours to complete
Rigid-Body Motions (Part 2 of 2)
Module 5 · 7 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Modern Robotics: Mechanics, Planning, and Control
Instructor
Leader in Robotics Research and Education at Northwestern University's Mechanical Engineering Department.
Kevin Lynch is the Professor and Chair of the Mechanical Engineering Department at Northwestern University. He is also affiliated with the Neuroscience and Robotics Lab and the Northwestern Institute on Complex Systems. His research primarily focuses on dynamics, motion planning, and control for robot manipulation and locomotion, as well as self-organizing multi-agent systems and functional electrical stimulation for restoring human function.
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Frequently asked questions
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