Autonomous Mobile Robots

About

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 will 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

Skills you learn

• Localization
• Motion Planning
• Algorithms
• Kinematics

Auto Summary

Explore the fascinating world of autonomous mobile robots in this IT & Computer Science course by edX. Learn essential concepts and algorithms for developing autonomous robots that navigate complex environments. Focus areas include robot locomotion, kinematics, environment perception, probabilistic localization, mapping, and motion planning. Ideal for beginners, the course features various robot types, including wheeled, legged, and drones. The curriculum follows the textbook "Introduction to Autonomous Mobile Robots" by Siegwart, Nourbakhsh, and Scaramuzza. Available with a professional subscription.