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What is Swarm Robotics

Chapter 9
Handbook of Research on Design, Control, and Modeling of Swarm Robotics
An approach inspired by collective behaviors from natural animals to coordinate multirobot systems consisting of large numbers of simple physical robots.
Published in Chapter:
Shape Control of Robot Swarms with Multilevel-Based Topology Design
Xiao Yan (City University of Hong Kong, China) and Dong Sun (City University of Hong Kong, China)
Copyright: © 2016 |Pages: 29
DOI: 10.4018/978-1-4666-9572-6.ch009
Abstract
Significant attentions have been drawn to the cooperative control of robot swarms from researchers all over the world during the past decade. This chapter mainly focuses on the shape control problem of a group of homogeneous mobile robots moving into a desired region. A novel topology design of the robot group is proposed with a multilevel-based structure, which can be utilized to construct different shapes for the robot group within the desired region. A controller employing several potential forces is developed to control the robots in forming the desired formation shape while avoiding collisions during their movements. The local minima problem which may cause the robots stuck at undesired positions is further addressed with a novel shape regulation control force. The stability of the controlled system is analyzed using a Lyapunov approach. Simulations and experiments are demonstrated to show the effectiveness of the proposed approach.
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More Results
Chapter 1
A Survey on Swarm Robotics
A new approach to the coordination of multi-robot systems which consist of large numbers of mostly simple physical robots. It is supposed that a desired collective behavior emerges from the interactions between the robots and interactions of robots with the environment.
Published in Chapter: A Survey on Swarm Robotics; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
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Chapter 2
A Blockchain-Based Robotic Process Automation Mechanism in Educational Setting
This refers to how swarm robotics algorithms can be designed to solve problems by learning from natural systems like swarms of birds, mammals, bees, or fish. It refers to the collective behaviour that is either natural or artificial of decentralised coordinated systems.
Published in Chapter: A Blockchain-Based Robotic Process Automation Mechanism in Educational Setting; From: Industry Use Cases on Blockchain Technology Applications in IoT and the Financial Sector
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Chapter 20
Flexible and Hybrid Action Selection Process for the Control of Highly Dynamic Multi-Robot Systems
Corresponds to a relative new approach to perform the coordination of a large group of robots without neither centralized control nor high level cognition between the robots.
Published in Chapter: Flexible and Hybrid Action Selection Process for the Control of Highly Dynamic Multi-Robot Systems; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
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Chapter 26
Underwater Swarm Robotics: Challenges and Opportunities
The study of groups of robots that cooperate to achieve a shared goal.
Published in Chapter: Underwater Swarm Robotics: Challenges and Opportunities; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
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Chapter 15
Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment
A kind of robotic system, inspired from natural swarms, introduces the cooperating mechanism from the nature to control simple individual robots which are restricted to have limited functions, such as local sensing and communication, low computational resources and no central commanders in the swarm.
Published in Chapter: Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
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Chapter 3
Adaptive Self-Organizing Organisms Using A Bio-Inspired Gene Regulatory Network Controller: For the Aggregation of Evolutionary Robots under a Changing Environment
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Chapter 13
An Overview of Swarm Robotics for Search and Rescue Applications
Is a particular case of multi-robot systems, in which teams usually comprise a large numbers of simple, and in most cases homogeneous, robots. As the same phenomenon observed in nature by biological swarms ( e.g. , ants and bees), one expects to attain an emergent collective behaviour capable of dealing with complex problems.
Published in Chapter: An Overview of Swarm Robotics for Search and Rescue Applications; From: Handbook of Research on Design, Control, and Modeling of Swarm Robotics
Full Text Chapter Download: US $37.50 Add to Cart
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