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Elements of Robotics
This open access book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations.
Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational differential drive with two motors, proximity sensors and some method of displaying output to the user. The theory is supplemented with over 100 activities , most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python.
Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational differential drive with two motors, proximity sensors and some method of displaying output to the user. The theory is supplemented with over 100 activities , most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python.
326 pages, Kindle Edition
Published October 25, 2017
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Displaying 1 of 1 review
November 24, 2020
Good introduction
Worth exploring for those curious about the topic and for beginners. A good introduction to concepts and some implementation projects in robotics
Worth exploring for those curious about the topic and for beginners. A good introduction to concepts and some implementation projects in robotics
Displaying 1 of 1 review