About this course

This course delves into the fundamentals and algorithms essential for the development of mobile robots that operate autonomously in diverse and complex environments. The primary focus is on aspects such as mobile robot locomotion and kinematics, perception of the environment, probabilistic map-based localization and mapping, and motion planning. Different types of robots are explored including wheeled robots, legged robots, and drones, with guidance from the textbook Introduction to Autonomous Mobile Robots by Roland Siegwart et al.

At a glance

• Institution: ETHx
• Subject: Computer Science
• Level: Intermediate
• Prerequisites: Good knowledge in basic mathematics, physics, system modeling, and control.
• Language: English
• Video Transcript: English
• Associated skills: Algorithms, Motion Planning, Kinematics, Localization

What you'll learn

• Understand and describe the critical concepts and algorithms for mobile robot locomotion, environment perception, probabilistic map based localization and mapping, and motion planning.
• Apply these concepts to design and implement autonomous mobile robots capable of acting in complex environments.

Course Coverage

• Understanding of mobile robot locomotion and kinematics
• Techniques in environment perception
• Probabilistic approaches for map-based localization and mapping
• Detailed studies on motion planning
• Insights into different types of robots: wheeled, legged, and drones

Who this course is for

This course is ideal for students, professionals, and hobbyists who have a background in mathematics, physics, system modeling, and control, and are interested in the fields of robotics and autonomous systems.

Application of Skills in the Real World

Skills acquired from this course can be applied in various sectors including robotics, automation, autonomous vehicles, and artificial intelligence systems development, enhancing efficiencies in operations, safety, and innovation.