Autonomous Mobile Robots: From Theory to Practice
Master the fundamentals of mobile robot design, including locomotion, perception, localization, and navigation in complex environments.
Master the fundamentals of mobile robot design, including locomotion, perception, localization, and navigation in complex environments.
Dive deep into the world of autonomous mobile robots with this comprehensive course from ETH Zurich. Explore the evolution of robots from stationary factory workhorses to complex machines capable of navigating our daily environments. This course covers essential concepts and algorithms for developing autonomous mobile robots, with a focus on locomotion, kinematics, environment perception, probabilistic map-based localization and mapping, and motion planning. You'll study various robot types, including wheeled robots, legged robots, and drones, gaining a holistic understanding of mobile robotics. The curriculum closely follows the renowned textbook "Introduction to Autonomous Mobile Robots" by Siegwart, Nourbakhsh, and Scaramuzza, ensuring a solid theoretical foundation complemented by practical insights. By the end of the course, you'll be equipped to design and implement autonomous mobile robots capable of operating in complex real-world scenarios.
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What you'll learn
Understand and apply key concepts in mobile robot locomotion and kinematics
Design and implement environment perception systems for autonomous robots
Develop probabilistic map-based localization and mapping (SLAM) algorithms
Create effective motion planning strategies for complex environments
Apply robotics principles to different types of robots (wheeled, legged, aerial)
Analyze and solve challenges in autonomous navigation and obstacle avoidance
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
This comprehensive course on autonomous mobile robots covers fundamental concepts and advanced algorithms over 15 weeks. The curriculum is structured to provide a deep understanding of mobile robot design and operation in complex environments. Key topics include: mobile robot locomotion and kinematics, exploring how different robot types (wheeled, legged, aerial) move and interact with their environment; environment perception, focusing on sensor technologies and data interpretation; probabilistic map-based localization and mapping (SLAM), essential for robot navigation in unknown environments; and motion planning, enabling robots to navigate efficiently and safely. The course emphasizes both theoretical foundations and practical applications, preparing students to design and implement autonomous mobile robots for real-world scenarios. By combining lectures with exercises, students gain hands-on experience in applying concepts to various robot types, from ground-based wheeled robots to more complex legged robots and drones.
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4.6 course rating
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