Modern Robotics, Course 3: Robot Dynamics
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 and inverse dynamics algorithms
Understand Lagrangian and Newton-Euler formulations
Implement trajectory generation techniques
Develop time-optimal motion planning solutions
Analyze dynamic constraints and actuator limits
Skills you'll gain
This course includes:
1.25 Hours PreRecorded video
20 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers robot dynamics and trajectory generation, focusing on both theoretical foundations and practical algorithms. Students learn Lagrangian dynamics, Newton-Euler methods, and efficient numerical algorithms for forward and inverse dynamics. The curriculum includes advanced topics such as task-space dynamics, constrained dynamics, and time-optimal trajectory planning.
Chapter 8: Dynamics of Open Chains (Part 1 of 2)
Module 1 · 6 Hours to complete
Chapter 8: Dynamics of Open Chains (Part 2 of 2)
Module 2 · 6 Hours to complete
Chapter 9: Trajectory Generation (Part 1 of 2)
Module 3 · 4 Hours to complete
Chapter 9: Trajectory Generation (Part 2 of 2)
Module 4 · 3 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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