Key Information
About the content
Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, environment perception, probabilistic map based localization and mapping, and motion planning. The lectures and exercises of this course introduce several types of robots such as wheeled robots, legged robots and drones.
This lecture closely follows the textbook Introduction to Autonomous Mobile Robots by Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, second edition 2011.
Prerequisite
Good basic mathematics, physics, system modeling and control.
Syllabus
- Be able to describe the basic concepts and algorithms required for mobile robot locomotion, environment perception, probabilistic map based localization and mapping, and motion planning
- Be able to apply these concepts for the design and implementation of autonomous mobile robots acting in complex environment
Instructors
Roland Siegwart
Professor, Autonomous Systems
ETH Zurich
Margarita Chli
Assistant Professor, Vision for Robotics Lab
ETH Zurich
Marco Hutter
Assistant Professor, Robotic Systems Lab
ETH Zurich
Davide Scaramuzza
Professor, Robotics
University of Zurich
Martin Rufli
Lecturer, Autonomous Systems Lab
ETH Zurich
Nicholas Lawrance
Dr.
ETH Zurich
Content Designer
Platform
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with EdX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.
Excellent MOOC with very nice pedagogy and contents. I recommend!
Excellent MOOC with very nice pedagogy and contents. I recommend!
