Apply robotics concepts to develop a complete mobile manipulation system: Plan and control a mobile robot with an arm for pick-and-place tasks.
Apply robotics concepts to develop a complete mobile manipulation system: Plan and control a mobile robot with an arm for pick-and-place tasks.
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
پښتو, বাংলা, اردو, 2 more
What you'll learn
Develop mobile robot odometry and simulation
Implement end-effector trajectory planning
Create feedforward control systems
Design feedback control for trajectory tracking
Integrate complete mobile manipulation solution
Skills you'll gain
This course includes:
0.75 Hours PreRecorded video
1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This capstone project integrates concepts from the Modern Robotics specialization to develop a complete mobile manipulation system. Students implement software for controlling a KUKA youBot mobile manipulator, combining trajectory planning, odometry, and feedback control. The project focuses on practical implementation using V-REP robot simulator and includes milestone-based development of a pick-and-place task.
Introduction to the Capstone Project, and Milestone 1
Module 1 · 4 Hours to complete
Milestone 2: Reference Trajectory Generation
Module 2 · 5 Hours to complete
Milestone 3: Feedforward Control
Module 3 · 5 Hours to complete
Completing the Project and Your Submission
Module 4 · 5 Hours to complete
Fee Structure
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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4.9 course rating
52 ratings
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