Date(s) - 01/08/2016 - 25/09/2016
If you are in mobile robotics field and working on control of mobile robots, take this course without any delay. This course is very useful to understand the control theory behind the safe, stable, controllable and robust mobile robot. 7 week long this course starts with basic theory of the control and covers differential drive model of mobile robot, digital implementation of PID controllers in physical system, state space modeling, checking the stability, controllability and observability of system, navigation and hybrid systems. Georgia Institute of Technology is the creator of the course on coursera platform and they framed course content very well. The Professor Magnus Egerstedt, GeorgiaTech and his team have given full effort to teach you as simple as possible with such advance and modern topic. Glue lectures and quizzes definitely help you to understand the concept of control design of mobile robot.
Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. The structure of this class is somewhat unusual since it involves many moving parts – to do robotics right, one has to go from basic theory all the way to an actual robot moving around in the real world.
Syllabus of course:
- Introduction to Robots
- Mobile Robots
- Linear Systems
- Control Design
- Hybrid Systems
- The Navigation Problem
- Putting It All Together
About Professor Magnus Egerstedt
Magnus Egerstedt is the Schlumberger Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he serves as Associate Chair for Research and External Affairs. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt is the director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab), where he conducts research in the areas of control theory and robotics, with particular focus on control and coordination of complex networks, such as multi-robot systems, mobile sensor networks, and cyber-physical systems. Magnus Egerstedt is a Fellow of the IEEE, and has received a number of teaching and research awards, including the Ragazzini Award from the American Automatic Control Council, the Outstanding Doctoral Advisor Award and the HKN Outstanding Teacher Award from Georgia Tech, the Alum of the Year Award from the Royal Institute of Technology, and the CAREER Award from the U.S. National Science Foundation. (June 2016)
About Georgia Institute of Technology
Located in Atlanta, Georgia, the Georgia Institute of Technology is a leading research university committed to improving the human condition through advanced science and technology.
As a leading technological university, Georgia Tech has more than 100 centers focused on interdisciplinary research that consistently contribute vital research and innovation to American government, industry, and business.
There is no doubt that Georgia Tech stands out as a distinctively different kind of university, one that is eagerly encouraging and developing the revolutionary technologies of the 21st century.
Equipped with the extremely rich resources of an outstanding student body and faculty; strong partnerships with business, industry, and government; and support from alumni and friends, Georgia Tech is designing a future of global preeminence, leadership, and service.