Cognitive Systems Monographs Space-Time Continuous Models of Swarm Robotic Systems: Supporting Global-To-Local Programming, Book 9, Hardcover
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A generic model predicts the behavior of large self-organizing robot groups based on their control algorithm.
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What Stands Out
Product Details
| Language | English |
| Series Title | Cognitive Systems Monographs |
| Publisher | Springer |
| Book Format | Hardcover |
| Original Languages | English |
| Number of Pages | 160 |
| Author | Springer |
| Title | Space-Time Continuous Models of Swarm Robotic Systems: Supporting Global-To-Local Programming |
| ISBN-13 | 9783642133763 |
| Publication Date | June, 2010 |
| ISBN-10 | 3642133762 |
| Genre | Computing & Internet |
| Original languages | English |
| Age group | Adult |
| Book format | Hardcover |
| Pages | 160 |
| Manufacturer | Springer |
| Publication date | June, 2010 |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Researchers in Robotics
Ideal for academics investigating swarm robotics and global-to-local programming frameworks to enhance their research methods.
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Graduate Students
Beneficial for students studying advanced robotics, providing foundational knowledge in swarm systems and model programming approaches.
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Industry Professionals
Valuable for engineers and developers focused on creating or improving robotic systems, especially in collaborative environments.
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Casual Readers
Not suitable for general readers seeking light or casual content, as it requires technical understanding of robotics.
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Beginner Programmers
Individuals with little programming experience may find the concepts too advanced without foundational knowledge in robotics.
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Non-Technical Students
Students in unrelated fields may struggle with the technical jargon and complex theories related to swarm robotics.
Product Description
Cognitive Systems Monographs Space-Time Continuous Models of Swarm Robotic Systems: Supporting Global-To-Local Programming, Book 9, Hardcover
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ZAR 2408
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Features & Benefits
- Develops a mathematical model for predicting robot swarm behavior.
- Focuses on self-organizing robotic systems.
- Explores global-to-local programming approaches.
- Emphasizes interdisciplinary connections in swarm robotics.
- Offers insights into control algorithms for robot swarms.
- Ideal for researchers in robotics and related fields.
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