Kevin Lynch

Kevin Lynch is Professor and Chair of the Mechanical Engineering Department at Northwestern University. He is a member of the Neuroscience and Robotics Lab and the Northwestern Institute on Complex Systems. His research focuses on dynamics, motion planning, and control for robot manipulation and locomotion; self-organizing multi-agent systems; and functional electrical stimulation for restoration of human function. Dr. Lynch is Editor-in-Chief of the IEEE International Conference on Robotics and Automation and incoming Editor-in-Chief of the IEEE Transactions on Robotics. He is co-author of the textbooks "Principles of Robot Motion" (MIT Press, 2005), "Embedded Computing and Mechatronics" (Elsevier, 2015), and "Modern Robotics: Mechanics, Planning, and Control" (Cambridge University Press, 2017). He is an IEEE fellow and the recipient of Northwestern's Professorship of Teaching Excellence and the Northwestern Teacher of the Year award in engineering. He earned a BSE in electrical engineering from Princeton University and a PhD in robotics from Carnegie Mellon University.

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Modern Robotics, Course 4: Robot Motion Planning and Control (Coursera) Coursera
Northwestern University

Modern Robotics, Course 4: Robot Motion Planning and Control (Coursera)

Embark on a journey into the intricate workings of robots with 'Modern Robotics: Course 4 - Robot Motion Planning and Control'. This course is part of Coursera's acclaimed specialization series designed for serious students aiming for careers in robotics. You'll delve deep into essential mathematical modeling techniques that form the backbone of robotic mechanics, planning, and control systems.

Aug 31st 2026
4 Weeks
Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots (Coursera) Coursera
Northwestern University

Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots (Coursera)

Explore the intricate world of robotics with 'Modern Robotics: Course 5 - Robot Manipulation and Wheeled Mobile Robots'. This course is designed for serious students who aspire to delve into the mechanics, planning, and control aspects of robots. Gain a deep understanding of robot manipulation and wheeled mobile robots through fundamental mathematical modeling techniques.

Aug 31st 2026
4 Weeks
Modern Robotics, Course 6: Capstone Project, Mobile Manipulation (Coursera) Coursera
Northwestern University

Modern Robotics, Course 6: Capstone Project, Mobile Manipulation (Coursera)

Embark on an exciting journey into advanced robotics with our Capstone Project in Mobile Manipulation. In this final course of the Modern Robotics specialization, you'll develop the skills to plan and execute complex tasks involving both a mobile base and a robotic arm. By leveraging trajectory planning, odometry, and feedback control techniques, you will create software that enables your robot to perform sophisticated pick-and-place operations. Start now with the provided Modern Robotics library and build upon your previous knowledge to achieve mastery in mobile manipulation.

Aug 31st 2026
4 Weeks
Modern Robotics, Course 2: Robot Kinematics (Coursera) Coursera
Northwestern University

Modern Robotics, Course 2: Robot Kinematics (Coursera)

Embark on an exciting journey into the mechanics behind robots with 'Modern Robotics: Course 2 - Robot Kinematics'. This course is designed for serious students who aspire to work in the field of robotics or pursue further academic studies. Gain a deep understanding of how robots move and interact with their environment through advanced mathematical modeling techniques.

Aug 24th 2026
4 Weeks
Modern Robotics, Course 6: Capstone Project, Mobile Manipulation (Coursera) Coursera
Northwestern University

Modern Robotics, Course 6: Capstone Project, Mobile Manipulation (Coursera)

Dive into the final project of the Modern Robotics specialization on Coursera, where you'll explore the intricate world of mobile manipulation. This capstone course teaches you how to manage the simultaneous motion of a wheeled mobile base and its robot arm for successful task completion. You will delve into complex topics like trajectory planning, understanding odometry for mobile robots, and implementing feedback control systems.

Dec 5th 2021
4 Weeks
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