This is a comprehensive volume on robot teams that will be the standard reference on multi-robot systems. The volume provides not only the essentials of multi-agent robotics theory but also descriptions of exemplary implemented systems demonstrating the key concepts of multi-robot research. Information is presented in a descriptive manner and augmented with detailed mathematical formulations, photos, diagrams, and source code examples.
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4 of 4 people found the following review helpful:
5.0 out of 5 stars
Enhanced with detailed mathematical formulations,
By Midwest Book Review (Oregon, WI USA) - See all my reviews
This review is from: Robot Teams: From Diversity to Polymorphism (Hardcover)
Robot research and development long ago left the realm of science fiction speculation to enter the real world of laboratory science, industrial factory production, space exploration, and even popular entertainment as exemplified by such popular television series as "Robot Wars". In Robot Teams: From Diversity To Polymorphism, Tucker Balch (Carnegie-Mellon University) effectively collaborated with Lynne E. Parker (Oak Ridge National Laboratory) to compile a wealth of up-to-date and cutting edge information, issues, and techniques of multi-robot systems. The reader is provided with all of the essentials of multi-agent robotics theory, descriptions of exemplary implemented systems, and demonstrations of key concepts with respect to multi-robot research. Robot Teams is enhanced with detailed mathematical formulations, photos, diagrams, source code examples, and a forty-four page bibliography for further and more detailed study. Robert Teams is an essential, indispensable, core volume for any professional or academic Robotics Studies program or reference collection.
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Inside This Book
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First Sentence:
A key "difficulty" in the design of multi-agent robotic systems is the size and complexity of the space of possible designs. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
simple social entropy, homogeneous controller, caste controller, robot team members, hierarchic social entropy, multirobot localization, heterogeneous communicating agents, multirobot tasks, pursuit domain, collaborative localization, communicating multiagent systems, homogeneous communicating agents, multirobot systems, dominant robot, robotic soccer domain, multirobot teams, reactive deliberation, caste implementation, centralized sensing, foraging robots, single large robot, red attractor, active learning phase, behavioral assemblages, soccer task Key Phrases - Capitalized Phrases (CAPs): (learn more)
Search Caste, Goal Caste, Monte Carlo, Measuring Robot Group Diversity, Silver Bullet, Polymorphic Robot Team, Home Buffer Boundary Figure, Actions Domain, Recursive Modeling Method New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
A key "difficulty" in the design of multi-agent robotic systems is the size and complexity of the space of possible designs. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
simple social entropy, homogeneous controller, caste controller, robot team members, hierarchic social entropy, multirobot localization, heterogeneous communicating agents, multirobot tasks, pursuit domain, collaborative localization, communicating multiagent systems, homogeneous communicating agents, multirobot systems, dominant robot, robotic soccer domain, multirobot teams, reactive deliberation, caste implementation, centralized sensing, foraging robots, single large robot, red attractor, active learning phase, behavioral assemblages, soccer task Key Phrases - Capitalized Phrases (CAPs): (learn more)
Search Caste, Goal Caste, Monte Carlo, Measuring Robot Group Diversity, Silver Bullet, Polymorphic Robot Team, Home Buffer Boundary Figure, Actions Domain, Recursive Modeling Method New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 51
books:
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7
books
cite this book:
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- Intelligent Robots and Systems by V. Graefe on 15 pages
- Autonomous Robot Vehicles by Ingemar J. Cox in Back Matter (1), Back Matter (2), and Back Matter (3)
- Artificial Intelligence: Theory and Practice by Thomas Dean in Back Matter (1), Back Matter (2), and Back Matter (3)
- Distributed Autonomous Robotic Systems by H. Asama in Back Matter (1), Back Matter (2), and Back Matter (3)
- Foundations of Distributed Artificial Intelligence (Sixth Generation Computer Technologies) by G. M. P. O'Hare in Back Matter (1), and Back Matter (2)
See all 51 books this book cites
- Advances in the Study of Behavior, Volume 33 by Peter J.B. Slater on page 49, page 50, and page 54
- Cooperative Control: A Post-Workshop Volume, 2003 Block Island Workshop on Cooperative Control (Lecture Notes in Control and Information Sciences) by Vijay Kumar on page 60, and page 186
- Robot Control 2003: 7th IFAC Symposium - SYROCO 2003 - Part of IFAC (IPV - IFAC Proceedings Volume) by Jerzy Z Sasiadek on page 39
- Swarm Robotics: SAB 2004 International Workshop, Santa Monica, CA, USA, July 17, 2004, Revised Selected Papers (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues) by Erol Sahin on page 68
- Ant Colony Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004, Proceeding (Lecture Notes in Computer Science) by Marco Dorigo on page 141
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