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Hardware Architecture Review of Swarm Robotics System: Self-Reconfigurability, Self-Reassembly, and Self-Replication
Author(s) -
Madhav Patil,
Tamer Abukhalil,
Tarek Sobh
Publication year - 2013
Publication title -
isrn robotics
Language(s) - English
Resource type - Journals
ISSN - 2090-8806
DOI - 10.5402/2013/849606
Subject(s) - reconfigurability , swarm robotics , swarm behaviour , artificial intelligence , robotics , robot , computer science , ant robotics , scalability , distributed computing , robustness (evolution) , modular design , swarm intelligence , flexibility (engineering) , computer architecture , systems engineering , engineering , mobile robot , machine learning , robot control , particle swarm optimization , biology , database , telecommunications , mathematics , biochemistry , statistics , gene , operating system
Swarm robotics is one of the most fascinating and new research areas of recent decades, and one of the grand challenges of robotics is the design of swarm robots that are self-sufficient. This can be crucial for robots exposed to environments that are unstructured or not easily accessible for a human operator, such as the inside of a blood vessel, a collapsed building, the deep sea, or the surface of another planet. In this paper, we present a comprehensive study on hardware architecture and several other important aspects of modular swarm robots, such as self-reconfigurability, self-replication, and self-assembly.The key factors in designing and building a group of swarm robots are cost andminiaturizationwith robustness, flexibility, and scalability. In robotics intelligence, self-assembly and self-reconfigurability are among the most important characteristics as they can add additional capabilities and functionality to swarm robots. Simulation and model design for swarm robotics is highly complex and expensive, especially when attempting to model the behavior of large swarm robot groups.

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