link Source: www.edx.org
list 15 sequences
assignment Level : Intermediate
chat_bubble_outline Language : English
card_giftcard 600 points
Users' reviews
5
starstarstarstarstar
Read review

Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 60 hours in total

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.

more_horiz Read more
more_horiz Read less
report_problem

Prerequisite

Good basic mathematics, physics, system modeling and control.

dns

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
record_voice_over

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

store

Content Designer

ETH Zurich
ETH Zurich
assistant

Platform

Edx

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.

Reviews
5 /5 Average
starstarstarstarstar
1
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
Content
5/5
Platform
5/5
Animation
5/5
Best Review

Excellent MOOC with very nice pedagogy and contents. I recommend!

Published on January 1, 2020
You are the designer of this MOOC?
What is your opinion on this resource ?
Content
5/5
Platform
5/5
Animation
5/5
January 1, 2020
starstarstarstarstar

Excellent MOOC with very nice pedagogy and contents. I recommend!