This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming ex
Created by: Kevin Lynch
Overall Score : 96 / 100
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Kevin Lynch is Professor and Chair of the Mechanical Engineering Department at Northwestern University. He is a member of the Neuroscience and Robotics Lab (nxr.northwestern.edu) and the Northwestern Institute on Complex Systems (nico.northwestern.edu). 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, https://nu32.org), and "Modern Robotics: Mechanics, Planning, and Control" (Cambridge University Press, 2017, https://modernrobotics.org). 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.