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What is Swarm Robotics

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)
DOI: 10.4018/978-1-4666-9572-6.ch009
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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Real-World Applications of Bio-Inspired Swarm Robotics
A field of robotics inspired by the collective behavior of social insects, where a large number of simple robots work together to accomplish tasks, mimicking the behavior of natural swarms.
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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.
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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.
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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.
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Underwater Swarm Robotics: Challenges and Opportunities
The study of groups of robots that cooperate to achieve a shared goal.
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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.
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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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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.
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