• Length:
    15 Weeks
  • Effort:
    4–8 hours per week
  • Price:

    FREE
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  • Institution
  • Subject:
  • Level:
    Intermediate
  • Language:
    English
  • Video Transcript:
    English

Prerequisites

Good basic mathematics, physics, system modeling and control.

About this course

Skip About this course

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.

What you'll learn

Skip What you'll learn
  • 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

Meet your 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

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Who can take this course?

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