Robot Control: Manipulation & Wheeled Movement
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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English
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What you'll learn
Model kinematics and forces in robot manipulation
Analyze form-closure and force-closure grasping
Understand wheeled mobile robot kinematics
Implement motion planning for mobile robots
Design feedback control systems
Develop mobile manipulation strategies
Skills you'll gain
This course includes:
1.9 Hours PreRecorded video
29 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers advanced topics in robotics, focusing on robot manipulation and wheeled mobile robots. The curriculum includes detailed study of contact kinematics, grasping theory, friction models, and force closure. Students learn about omnidirectional and nonholonomic wheeled mobile robots, including their modeling, motion planning, and control. The course uses the V-REP simulator and includes practical programming exercises in Python, Mathematica, or MATLAB.
Chapter 12: Grasping and Manipulation (Part 1 of 2)
Module 1 · 9 Hours to complete
Chapter 12: Grasping and Manipulation (Part 2 of 2)
Module 2 · 11 Hours to complete
Chapter 13: Wheeled Mobile Robots (Part 1 of 2)
Module 3 · 5 Hours to complete
Chapter 13: Wheeled Mobile Robots (Part 2 of 2)
Module 4 · 8 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
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.