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Robotics, vision and control : fundamental algorithms in MATLAB /

By: Corke, Peter I, 1959-.
Series: Springer tracts in advanced robotics: v. 73.Publisher: Berlin : Springer, 2013Description: xxiv, 570 pages : illustrations (some color), plates ; 27 cm.Content type: text | text | still image Media type: unmediated | unmediated Carrier type: volume | volumeISBN: 9783642201431 (pbk.); 9783642201431:; 3642201431 (pbk.).Subject(s): MATLAB | Robotics | Mechatronics | Computer vision | Computer algorithmsDDC classification: 629.892637
Contents:
1. Introduction -- 2. Representing position and orientation -- 3. Time and motion -- 4. Mobile robot vehicles -- 5. Navigation -- 6. Localization -- 7. Robot arm kinematics -- 8. Velocity relationships -- 9. Dynamics and control -- 10. Light and color -- 11. Image formation -- 12. Image processing -- 13. Image feature extraction -- 14. Using multiple images -- 15. Vision-based control -- 16. Advanced visual servoing.
Summary: Robotics and computer vision both require applying computational algorithms to data. This book shows how complex problems in this field can be broken down and solved using just a few simple lines of code, and aims to inspire up-and-coming researchers.
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Item type Current library Call number Copy number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 629.892637 COO (Browse shelf(Opens below)) 1 Available 0091905
Total holds: 0

Includes bibliographical references (pages 543-552) and index.

1. Introduction -- 2. Representing position and orientation -- 3. Time and motion -- 4. Mobile robot vehicles -- 5. Navigation -- 6. Localization -- 7. Robot arm kinematics -- 8. Velocity relationships -- 9. Dynamics and control -- 10. Light and color -- 11. Image formation -- 12. Image processing -- 13. Image feature extraction -- 14. Using multiple images -- 15. Vision-based control -- 16. Advanced visual servoing.

Robotics and computer vision both require applying computational algorithms to data. This book shows how complex problems in this field can be broken down and solved using just a few simple lines of code, and aims to inspire up-and-coming researchers.

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