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Group robot area coverage search system imitating physarum polycephalum foraging behavior

A multi-headed vesicular bacteria and swarm robot technology, applied in the field of search systems, can solve the problems of high price and low search efficiency, and achieve the effects of fast search speed, simple implementation and high search efficiency

Active Publication Date: 2017-12-26
DONGGUAN UNIV OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a group robot area coverage search system that imitates the foraging behavior of Phylobacter polycephalum, so as to solve the problems of high price and low search efficiency in the existing robots in the above-mentioned background technology

Method used

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  • Group robot area coverage search system imitating physarum polycephalum foraging behavior
  • Group robot area coverage search system imitating physarum polycephalum foraging behavior
  • Group robot area coverage search system imitating physarum polycephalum foraging behavior

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Embodiment

[0032] Embodiment: The group robot area coverage search method of imitating the foraging behavior of Phymophora polycereus involved in the target search control system based on the intelligent behavior of Phylomona polycephalum is experimented and verified on the Auto robot platform, and the search system of the specific The method is as follows: Step 1: Imitate the center of Physarum polycephalum, randomly assign IDs, and use the largest ID value as the center of the robot network; the robot tries to move in a certain direction, and has been judging by the communication and distance measurement information of the Bluetooth module 5 The strength of the center signal, and then the ARM microprocessor 6 outputs an electrical signal to control the movement of the high-torque steering gear 3, driving the robot to move in the direction where the center signal is strong, and realizing multi-robot aggregation, such as image 3 shown; Step 2: When the robots are too close to each other,...

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Abstract

The invention discloses a group robot area coverage search system imitating a physarum polycephalum foraging behavior and relates to the search system technology field. The system is formed by a plurality of same robots. Each robot comprises a rack. The rack is equipped with a driving module driving the robots to move, a bluetooth module and an ARM microprocessor. The bluetooth module and the ARM microprocessor are electrically connected through a communication interface. The ARM microprocessor and the driving module are electrically connected. The robots are connected to each other through the bluetooth modules in a signal connection mode. A point-to-point local search information sharing communication network is established. According to intensity of a signal received among the bluetooth modules of the robots, distances among the robots are calculated. Through regulation and control of communication information among the bluetooth modules of the robots, the ARM microprocessors output electric signals to make the driving modules drive the robots to move. The technology has less dependence on communication among the robots, accurate positioning is not needed, and the system is suitable for occasions where a communication range is limited and a data calculating processing capability is limited too.

Description

technical field [0001] The invention relates to a group robot area coverage search system that imitates the foraging behavior of Phylobacter polycephalum, and specifically belongs to the technical field of search systems. Background technique [0002] Using swarm robots to search for humans is an advanced means of target detection in dangerous or unmanned environments. The existing swarm robot target search system has shortcomings such as over-reliance on the communication range between robots and the need for a complex positioning system. If the communication range between robots is limited and positioning is difficult, the group robot search system will be paralyzed. Reduced the efficiency of actual robots in completing search tasks. [0003] The function verification or function realization of the existing swarm robot target search system requires the establishment of a foreign swarm robot platform, which is expensive, and the infrared sensor is prone to the problem of d...

Claims

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Application Information

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IPC IPC(8): G06N3/00B25J9/16
CPCB25J9/163B25J9/1664G06N3/008
Inventor 郭建文骆延东曾志彬晏晓辉张智聪
Owner DONGGUAN UNIV OF TECH
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