Zusammenfassungen
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 algorithms: 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 robots: 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.
Von Klappentext im Buch Elements of Robotics (2017) Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: 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 robots: 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.
Kapitel
- 1. Robots and Their Applications (Seite 1 - 20)
- 2. Sensors (Seite 21 - 37)
- 3. Reactive Behavior (Seite 39 - 53)
- 4. Finite State Machines (Seite 55 - 61)
- 5. Robotic Motion and Odometry (Seite 63 - 93)
- 6. Control (Seite 95 - 109)
- 7. Local Navigation: Obstacle Avoidance (Seite 111 - 126)
- 8. Localization (Seite 127 - 139)
- 9. Mapping (Seite 141 - 163)
- 10. Mapping-Based Navigation (Seite 165 - 178)
- 11. Fuzzy Logic Control (Seite 179 - 183)
- 12. Image Processing (Seite 185 - 201)
- 13. Neural Networks (Seite 203 - 220)
- 14. Machine Learning (Seite 221 - 250)
- 15. Swarm Robotics (Seite 251 - 265)
- 16. Kinematics of a Robotic Manipulator (Seite 267 - 291)
Dieses Buch erwähnt ...
Personen KB IB clear | Mordechai Ben-Ari , Valentin Braitenberg | |||||||||||||||||||||||||||
Begriffe KB IB clear | Algorithmusalgorithm , Braitenberg VehiclesBraitenberg Vehicles , ClassificationClassification , Kommunikationcommunication , machine learning , Neuronneuron , Neuronales Netzneural network , Perceptron , Pheromone , Roboterrobot , Statistikstatistics , uncanny valley | |||||||||||||||||||||||||||
Bücher |
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Dieses Buch erwähnt vermutlich nicht ...
Nicht erwähnte Begriffe | Daten, Künstliche Intelligenz (KI / AI) |
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Volltext dieses Dokuments
Elements of Robotics: Gesamtes Buch als Volltext (: , 9446 kByte; : ) | |
Robots and Their Applications: Artikel als Volltext bei Springerlink (: , 971 kByte; : ) | |
Mapping-Based Navigation: Artikel als Volltext bei Springerlink (: , 536 kByte; : ) | |
Fuzzy Logic Control: Artikel als Volltext bei Springerlink (: , 175 kByte; : ) | |
Image Processing: Artikel als Volltext bei Springerlink (: , 629 kByte; : ) | |
Neural Networks: Artikel als Volltext bei Springerlink (: , 439 kByte; : ) | |
Machine Learning: Artikel als Volltext bei Springerlink (: , 790 kByte; : ) | |
Swarm Robotics: Artikel als Volltext bei Springerlink (: , 653 kByte; : ) | |
Kinematics of a Robotic Manipulator: Artikel als Volltext bei Springerlink (: , 812 kByte; : ) | |
Sensors: Artikel als Volltext bei Springerlink (: , 585 kByte; : ) | |
Reactive Behavior: Artikel als Volltext bei Springerlink (: , 323 kByte; : ) | |
Finite State Machines: Artikel als Volltext bei Springerlink (: , 221 kByte; : ) | |
Robotic Motion and Odometry: Artikel als Volltext bei Springerlink (: , 917 kByte; : ) | |
Control: Artikel als Volltext bei Springerlink (: , 266 kByte; : ) | |
Local Navigation: Obstacle Avoidance: Artikel als Volltext bei Springerlink (: , 653 kByte; : ) | |
Localization: Artikel als Volltext bei Springerlink (: , 682 kByte; : ) | |
Mapping: Artikel als Volltext bei Springerlink (: , 1015 kByte; : ) | |
Elements of Robotics: Gesamtes Buch als Volltext (: 7231 kByte; : ) |
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Beat und dieses Buch
Beat hat dieses Buch während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt kein physisches, aber ein digitales Exemplar. Eine digitale Version ist auf dem Internet verfügbar (s.o.).