Remotely Controlled Robot Swarms: A Structural Analysis and Model for Structural Optimization
Source abstract
Abstract
In this paper, the authors analyse the structure of robot swarms. Drive, communication, and artificial intelligence technologies have reached a level where the inspiration of the animal world has become very useful for the development of systems of which people have dreamed for centuries. A short introduction describes the need for and expectations of autonomous robots and vehicles. A classification of swarm structures is based on animals such as bees or ants. Two main types of swarms are recognized: structural (master–slaves) and non-structural. The operator controls both of them remotely. The swarm structure has a great influence on the structure of single robots. A computer model with an object programming definition was worked out, and a simulation of the presented swarm structure is provided. The results are described in the paper.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Modular Robots and Swarm Intelligence · Robotic Path Planning Algorithms · Distributed Control Multi-Agent Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Vehicles and Construction Machinery Engineering, Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Politechniki 1, 00-661 Warsaw, Poland
References (18)
Show source-provided references
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