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assignment Level : Intermediate
chat_bubble_outline Language : English
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Key Information

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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.

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Prerequisite

Good basic mathematics, physics, system modeling and control.

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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
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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

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Content Designer

ETH Zurich
ETH Zurich
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Platform

Edx

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Best Review

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

Published on January 1, 2020
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January 1, 2020
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Excellent MOOC with very nice pedagogy and contents. I recommend!