Multi-Agent Visual-SLAM Algorithms on Autonomous Robots (Paperback)
HNL 1858
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Unlock the potential of autonomous navigation with pioneering Multi-Agent Visual-SLAM algorithms for unprecedented exploration accuracy and efficiency!
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What Stands Out
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Publication date | June, 2010 |
| Pages | 120 |
| Number in series | 1 |
| Edition | Standard Edition |
| Publisher | KS Omniscriptum Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Robotics |
| Educational level | Higher |
| Assembled product height | 9 in |
| Assembled product weight | 0.41 lb (190 grams) |
| Bisac subject heading | Non-Classifiable |
Who Should Buy?
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Research Scholars
Ideal for academic professionals conducting research in robotics or computer vision, providing advanced insights into SLAM algorithms.
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Robotics Engineers
Beneficial for engineers working on autonomous robots, enhancing their implementation of visual-SLAM techniques in projects.
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Students
Great resource for undergraduate and graduate students studying robotics, aiding in practical understanding of SLAM technologies.
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Casual Readers
Not suitable for casual readers seeking light content, as it covers complex technical algorithms requiring specialized knowledge.
Product Description
Multi-Agent Visual-SLAM Algorithms on Autonomous Robots (Paperback)
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Özkucur Nezih Ergin All Books Editorial Review
Multi-Agent Visual-SLAM Algorithms on Autonomous Robots (Paperback) offers an insightful look into advanced robotics technology and its applications. Published in June 2010, this non-fiction work focuses on the use of visual SLAM algorithms in autonomous systems, an essential topic for those in higher education fields related to robotics. With its 120 pages, this standard edition is both informative and accessible, making it a valuable resource for students and professionals alike. The book is written in English and published by KS Omniscriptum Publishing, ensuring a quality academic perspective on contemporary robotics methods.
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Pros
- Engaging content for robotics enthusiasts
- Well-structured and easy to understand
- Informative for higher education levels
- Focuses on advanced visual SLAM techniques
- Suitable for both students and professionals
Cons
- Limited pages may leave advanced readers wanting more
Product Price History
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Features & Benefits
- Addresses the complex SLAM problem in robot navigation.
- Enhances exploration speed with multi-robot cooperation.
- Introduces innovative SLAM techniques utilizing visual sensors.
- Implements effective calibration and map merging methods.
- Backed by rigorous testing in simulated and real environments.
- Empowers autonomous robots with superior mapping and localization capabilities.
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