Modern Robotics, Course 2: Robot Kinematics
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
Master forward kinematics using product-of-exponentials formula
Analyze velocity kinematics and manipulator statics
Solve inverse kinematics problems analytically and numerically
Understand closed-chain kinematics and constraints
Implement solutions using modern robotics software tools
Skills you'll gain
This course includes:
1.15 Hours PreRecorded video
17 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers robot kinematics, focusing on both theoretical foundations and practical applications. Students learn the product-of-exponentials formula for forward kinematics, velocity kinematics using space and body Jacobians, inverse kinematics through analytical and numerical methods, and the analysis of closed-chain systems. The course integrates hands-on programming using robotics software and simulators.
Chapter 4: Forward Kinematics
Module 1 · 4 Hours to complete
Chapter 5: Velocity Kinematics and Statics
Module 2 · 7 Hours to complete
Chapter 6: Inverse Kinematics
Module 3 · 4 Hours to complete
Chapter 7: Kinematics of Closed Chains
Module 4 · 2 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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