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Multi-robot hunting system based on LSTM prediction

A multi-robot and robot technology, applied in the direction of radio wave measurement system, general control system, control/regulation system, etc., can solve the problems of low practicality, limited expansion function, lack of prior information, etc.

Inactive Publication Date: 2021-09-10
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention is to solve the low practicality and limited expansion function of the existing multi-robot round-up related research; the lack of prior information in the round-up process, the passive round-up is often adopted, and the round-up efficiency is low. The high performance of the GPU server in computer data processing , The characteristics of low energy consumption calculation reduce the time of data processing and improve the real-time performance of the system; use the laser radar Rplidar series to collect environmental data information

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  • Multi-robot hunting system based on LSTM prediction
  • Multi-robot hunting system based on LSTM prediction
  • Multi-robot hunting system based on LSTM prediction

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Embodiment Construction

[0017] Based on the multi-robot round-up system predicted by LSTM, the three main controllers of the system (1) use a GTX1650 (i5-10300) laptop as the main CPU and integrate various data. The data acquisition sensor (2) is a laser radar Rplidar series, and the data interface is a USB2.0 interface. The GPU server (3) is used to process the data information received by the system, and return the position prediction result of the target robot at the next moment to (1) for path planning. Sonar (4) is used to collect surrounding distance information, and returns the information to (1) for data fusion. If the router (5) is a single-node router in a small outdoor scene, it can be multi-router networked to cover the entire system area if it is in a large and complex scene. Based on the ROS platform to build a multi-robot predictive round-up environment (6), the platform is open source and can realize code reuse on different robot platforms, reducing repetitive labor and enhancing sca...

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Abstract

The invention designs a multi-robot hunting system (0) based on LSTM prediction, wherein the system comprises a laser radar Rplidar series responsible for collecting data information and a deep learning server used for prediction, and the system comprises a target robot and two hunting robots. According to the system provided by the invention, local area network communication is adopted, the position information of the target robot at the next moment is obtained through LSTM prediction, a hunting point is set according to a prediction value, and a hunting line can be optimized, so that the hunting efficiency is improved, and interception type hunting is realized.

Description

technical field [0001] The invention belongs to the field of multi-robot round-up, and more specifically relates to a multi-robot round-up system combined with laser radar, sonar, and LSTM prediction. Background technique [0002] With the advancement of technology and the growth of demand for robots, a single robot is no longer able to complete more complex tasks. Compared with a single robot, a multi-robot system can realize parallel processing of data. Each individual robot in the system has the functions of sensor information communication, calculation analysis, and drive control, and can cooperate to complete multiple different tasks at the same time. When a robot in a multi-robot environment fails, the remaining functioning robots can compensate for the failure and continue to complete the task. In addition, the multi-robot system is also highly adaptable, and different types of robots can be brought together into a multi-robot system to complete specific tasks. [0...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/93G01S15/93G05B17/02G06N3/04G01M99/00
CPCG01S17/93G01S15/93G05B17/02G06N3/04G01M99/00
Inventor 鲜晓东田丽蓉郭婕赵德悦
Owner CHONGQING UNIV
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