Intelligent spraying composite robot system based on large language model and method thereof

Through an intelligent spray composite robot system based on large language model, combined with point cloud template matching and OBB surrounded box feature point extraction, high-precision spray trajectory is generated, and the problem of spray trajectory planning relies on manual teaching and offline programming is solved, and efficient and accurate spraying operations are achieved, reducing operation difficulty.

CN120395936AActive Publication Date: 2025-08-01BEIJING YANLING JIAYE INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202510913122.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-03
Publication Date
2025-08-01
Estimated Expiration
2045-07-03

AI Technical Summary

Technical Problem

The existing robot spraying technology has problems such as relying on manual teaching, low offline programming efficiency, high usage threshold and lack of friendly human-computer interaction. In addition, traditional path planning algorithms are inefficient and unsmooth in complex environments. The challenge of virtual and real migration makes it difficult for robots to perform well in real environments.

Method used

An intelligent spray-coated composite robot system based on a large language model is adopted, combined with point cloud template matching and OBB surrounded box feature point extraction, and a recursive Z-type trajectory algorithm is used to generate high-precision trajectories, and precise control of each component is achieved through Modbus_Tcp/IP communication, and action codes are generated through a large language model to analyze natural language instructions, lower the operation threshold.

Benefits of technology

It realizes efficient and accurate spraying operations, improves spraying efficiency and quality, reduces operation difficulty, adapts to different workpiece shapes and spraying strategies, and improves the flexibility and adaptability of spraying operations.

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Abstract

The invention provides an intelligent spraying composite robot system based on a large language model and a method thereof, and relates to the field of intelligent robots and automatic spraying, the intelligent spraying composite robot system comprises a chassis, a mechanical arm, a spraying gun, a camera, an instruction receiver and a controller; a mechanical arm and an instruction receiver are carried on the chassis; spray guns and cameras are mounted on the mechanical arms; the instruction receiver receives a natural language voice instruction, analyzes semantics through a large language model, and generates an action instruction; the controller comprises a motion control module, a three-dimensional point cloud data acquisition module, a feature point extraction module, a track planning module and a spraying operation module; the method improves the man-machine interaction, reduces the use threshold of the robot, is easy to operate, gives play to the spraying advantages of the composite robot, does not need to program in mainstream offline simulation software, can generate a spraying path with adjustable and controllable parameters only by collecting the point cloud template of the workpiece and selecting the feature points, and can be widely applied to furniture, furniture and the like. And spraying operation in the fields of automobiles, aerospace and the like.
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