A collaborative robot system for installing decorative building materials and a control method thereof

Abstract

A collaborative robot system for installing decorative building materials and a control method thereof, comprising a robot, a processing device, and a collaborative control system. The robot is a high-degree-of-freedom robot, comprising a manipulator and sensors. The sensors comprise a size sensor, a level sensor, and a product information sensor. The collaborative control system comprises a receiving unit, a neural network-like unit, a database unit, and an output unit. The neural network-like unit determines the location of the building material to be installed on the surface, the cutting size of the building material, and at least one of the installation plans based on the data from the sensors and the building material information. The output unit issues commands to the robot based on the decision made by the neural network-like unit to control the robot to execute, thereby realizing an intelligent building material installation process, improving construction efficiency, and ensuring installation quality and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of collaborative robots, and in particular to a collaborative robot system for installing decorative building materials and a control method thereof. Background Art

[0002] In the building decoration industry, laying wall panels, ceiling panels, flooring, tiles, and wood panels is a labor-intensive and technically demanding task. Currently, flooring is mainly done manually, which is not only inefficient but also has a high degree of quality affected by the workers' technical level.

[0003] In recent years, with advances in industrial automation and declining technology costs, robots have begun to assist or replace humans in simple, repetitive construction tasks, significantly improving work efficiency and reducing labor costs. However, existing construction robots have limited functionality and limited adaptability and flexibility, particularly when dealing with complex and changing construction site environments. Summary of the Invention

[0004] In view of this, the present invention provides a collaborative robot system for installing decorative building materials and a control method thereof to solve the above-mentioned problems.

[0005] A collaborative robot system for installing decorative building materials comprises a robot, a processing device, and a collaborative control system connected to the robot. The robot is a high-degree-of-freedom robot, comprising at least one manipulator and a plurality of sensors. The sensors comprise a size sensor, a level sensor, and a product information sensor. The size sensor is used to identify the size of the building material and the installation area, the level sensor is used to identify the levelness of the building material surface, and the product information sensor is used to identify the product information of the building material and the specific characteristics of the installed product. The collaborative control system comprises a receiving unit, at least one neural network-like unit, a database unit, and an output unit. The neural network-like unit determines at least one of the location on the surface where the building material is to be installed, the cutting size of the building material, and the installation plan based on the sensor data and the building material information. The output unit issues commands to the robot based on the decision made by the neural network-like unit to control the robot to perform at least one of the following operations: grabbing the building material, transporting the building material, positioning the building material on the surface, and installing the building material on the surface.

[0006] Furthermore, the manipulator is used to grasp and place building materials and can interact with the processing device. The manipulator has at least one moment sensor or torque sensor for detecting the force and torque applied during the transportation or installation process.

[0007] Furthermore, the size sensor is selected from an optical sensor, a laser scanner and a structured light system, the level sensor is selected from an inclinometer and a digital level, and the product information sensor is selected from a camera and a radio frequency identification card reader.

[0008] Furthermore, the processing device is a processing device that converts raw materials into finished products that meet construction requirements before installation of building materials, and the processing device is a cutting device, an adhesive applicator, or a roller device.

[0009] Furthermore, the neural network-like unit is trained with processing and installation knowledge of building material data, installation guidelines, and installation quality guidelines.

[0010] Furthermore, the neural network-like unit includes a serial neural network, a converter model, and a large language model.

[0011] Furthermore, the receiving unit is used to receive data from the sensor, and the database unit includes detailed information on building materials, installation and processing guidelines, and installation and processing quality guidelines.

[0012] A method for controlling a collaborative robot system for installing decorative building materials comprises the following steps:

[0013] Step S1: providing a collaborative robot system for installing decorative building materials according to any one of claims 1 to 7, and at least one building material;

[0014] Step S2: The robot performs a preparation step, including using the sensor to sense and obtain sensor data including the size of the area to be installed, product information of the building materials, and the surface levelness, and sends the data to the collaborative control system. The receiving unit receives the sensor data, and the neural network-like unit combines the sensor data with information in the database to calculate an optimal processing plan and installation plan.

[0015] Step S3: The robot executes a step of processing the building material, including using the sensor to sense the position and size of the building material according to the processing plan determined in the preparation step, the collaborative control system determining at least one method of grasping the building material based on the position and size of the building material, controlling the manipulator to grasp the building material and transport or place the building material to a processing device based on the determined grasping method, positioning the building material on the processing device, and controlling the processing device to process the building material;

[0016] Step S4: The robot executes a step of installing the building materials, which includes transporting the building materials to the installation area according to the installation plan determined in the preparation step, and the robot controls the manipulator to adjust the position and posture of the building materials to adapt to the installation position of the building materials, and installs the building materials on the surface of the installation area;

[0017] Step S5: The robot performs inspection to check whether the installed building materials meet the standards of the installation processing quality guide in the database unit.

[0018] Furthermore, in the above step S3, the processing of the building materials by the processing device includes cutting the building materials into a desired shape, applying adhesive or fixing the building materials with a nail gun, and removing at least a portion of the building materials or a combination of multiple building materials.

[0019] Furthermore, in the above step S5, it also includes using at least one external device to check the installation quality, and the external device is a 3D scanner or a camera group.

[0020] Compared with the prior art, the sensors in the collaborative robot system for installing decorative building materials of the present invention can identify installation processing data such as product information of building materials, surface levelness of building materials, specific features of the installed products, etc. The neural network-like unit determines the location of the building materials to be installed on the surface, the cutting size of the building materials, and at least one of the installation plans based on the data of the sensors and the building material information. The output unit issues commands to the robot based on the decision made by the neural network-like unit to control the robot to perform at least one of the operations of grabbing building materials, transporting building materials, positioning building materials on the surface, and installing building materials on the surface, thereby realizing an intelligent building material installation process, improving construction efficiency while ensuring installation quality and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic structural diagram of a collaborative robot system for installing decorative building materials provided by the present invention.

[0022] Figure 2 for Figure 1 The collaborative robot system for installing decorative building materials is a schematic structural diagram of a robot having a lock.

[0023] Figure 3 This is a flow chart of a control method for a collaborative robot system for installing decorative building materials provided by the present invention. DETAILED DESCRIPTION

[0024] The following is a further detailed description of specific embodiments of the present invention. It should be understood that the description of the embodiments of the present invention herein is not intended to limit the scope of protection of the present invention.

[0025] like Figures 1 to 3 , which is a schematic diagram of a collaborative robot system for installing decorative building materials and its control method provided by the present invention. The collaborative robot system for installing decorative building materials includes a robot 10, a processing device 20, and a collaborative control system 30 connected to the robot 10. It is conceivable that the collaborative robot system for installing decorative building materials also includes other functional components, such as circuit modules, etc., which are well known to those skilled in the art and will not be described in detail here.

[0026] The robot 10 is a high-degree-of-freedom robot that can meet the flexibility required for transporting or installing building materials and can perform corresponding delicate and complex operations. The robot 10 includes at least one manipulator 11 and a plurality of sensors 12.

[0027] The manipulator 11 is used to grasp and place building materials and can interact with the processing device 20. After the sensor 12 identifies the information of the building materials, the building materials are transported to the corresponding processing device 20 under the control of the collaborative control system 30. At least one force moment sensor or torque sensor on the manipulator 11 is used to detect the force and torque applied during the transportation or installation process to determine whether it is level. The sensor 12 includes a size sensor, a level sensor, and a product information sensor. The size sensor uses an optical sensor, a laser scanner, and a structured light system to identify the size of the building materials and the installation area. The level sensor uses an inclinometer and a digital level to identify the levelness of the surface of the building materials. The product information sensor uses a camera and an RFID card reader to identify the product information of the building materials and the specific characteristics of the installed products.

[0028] The processing device 20 is a device that converts raw building materials into finished products that meet construction requirements before installation. The processing device 20 can be a cutting device, an adhesive applicator, or a roller. The processing device 20 is known in the art and will not be described in detail here. The building materials are selected from the group consisting of wall panels, ceiling panels, floor panels, tiles, and wood panels.

[0029] The collaborative control system 30 includes a receiving unit 31 , at least one neural network-like unit 32 , a database unit 33 , and an output unit 34 .

[0030] The receiving unit 31 is configured to receive data from the sensor 12 .

[0031] The neural network-like unit 31 is trained in advance with processing and installation knowledge related to building material data, installation guidelines, and installation quality guidelines, so that the neural network-like unit 31 continuously adjusts its own structure and parameters during the training process to adapt to different data and tasks. The neural network-like unit 31 includes a serial neural network, a converter model, and a large language model. The serial neural network refers to multiple neural network layers connected in sequence, with the output of each layer serving as the input of the next layer. In the neural network-like unit 31, the serial neural network is used to process a variety of sensor data to help the robot perform more precise and complex tasks. The role of the converter model in the collaborative robot system is mainly reflected in enhancing the robot's perception, understanding, and interaction capabilities. The converter model can handle complex logical relationships and improve the robot's autonomous decision-making ability during task planning and execution. The large language model has strong natural language understanding capabilities and can parse complex instructions or questions such as installation guidelines and processing guidelines in the database unit 33. By processing a large amount of text data and information through the large language model, the robot can obtain more comprehensive knowledge support, thereby making intelligent decision-making suggestions or solutions.

[0032] The database unit 33 includes detailed information on building materials, installation and processing guidelines, and installation and processing quality guidelines. The neural network-like unit 31 determines at least one of the location on the surface where the building materials are to be installed, the size of the building materials to be cut, and an installation plan based on the data from the sensor 12 and the building material information. The output unit 34, based on the decisions made by the neural network-like unit 31, issues commands to the robot 10 to control the robot 10 to perform at least one of the following operations: grasping the building materials, transporting the building materials, positioning the building materials on the surface, and installing the building materials on the surface.

[0033] A method for controlling a collaborative robot system for installing decorative building materials comprises the following steps:

[0034] Step S1: Provide a collaborative robot system for installing decorative building materials and at least one building material.

[0035] Step S2: The robot 10 performs a preparation step, including using the sensor 12 to sense and obtain sensor data including the dimensions of the installation area, product information of the building materials, and surface levelness, and transmits the data to the collaborative control system 30. The receiving unit 31 receives the sensor data, and the neural network-like unit 32 combines the sensor data with information in the database to calculate the optimal processing plan and installation plan.

[0036] Step S3: The robot 10 executes the steps of processing the building material, including using the sensor 12 to sense the position and size of the building material according to the processing plan determined in the preparation step. The collaborative control system 30 determines at least one method for grasping the building material based on the position and size of the building material. Based on the determined grasping method, the robot 10 controls the manipulator 11 to grasp the building material and transport or place the building material to the processing equipment. The building material is positioned on the processing device 30 and the processing device 30 is controlled to process the building material.

[0037] Step S4: The robot 10 performs the installation step of the building materials, which includes transporting the building materials to the installation area according to the installation plan determined in the preparation step. The robot 10 controls the manipulator 11 to adjust the position and posture of the building materials to adapt to the installation position of the building materials, and installs the building materials on the surface of the installation area.

[0038] Step S5 : The robot 10 performs inspection to check whether the installed building materials meet the standards of the installation processing quality guide in the database unit 33 .

[0039] In the above step S3, the processing of the building materials by the processing device 30 includes cutting the building materials into a desired shape, applying adhesive or fixing the building materials with a nail gun, and removing at least a portion of the building materials or a combination of multiple building materials.

[0040] In the above step S5, at least one external device is further used to check the installation quality, and the external device is a 3D scanner or a camera group.

[0041] Compared with the prior art, the sensor 12 in the collaborative robot system for installing decorative building materials of the present invention can identify installation processing data such as product information of building materials, surface levelness of building materials, specific features of the installed products, etc. The neural network-like unit 31 determines the location of the building materials to be installed on the surface, the cutting size of the building materials, and at least one of the installation plans based on the data of the sensor 12 and the building material information. The output unit 34 issues commands to the robot 10 based on the decision made by the neural network-like unit 31 to control the robot 10 to perform at least one operation of grabbing building materials, transporting building materials, positioning building materials on the surface, and installing building materials on the surface, thereby realizing an intelligent building material installation process, improving construction efficiency while ensuring installation quality and accuracy.

[0042] The above are only preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements or improvements within the spirit of the present invention are included in the scope of the claims of the present invention.

Claims

1. A collaborative robot system for installing decorative building materials, characterized by: The collaborative robot system for installing decorative building materials includes a robot, a processing device, and a collaborative control system connected to the robot. The robot is a high-degree-of-freedom robot. The robot includes at least one manipulator and multiple sensors. The sensors include size sensors, level sensors, and product information sensors. The size sensor is used to identify the size of building materials and installation areas. The level sensor is used to identify the surface level of building materials. The product information sensor is used to identify product information of building materials and specific characteristics of installed products. The collaborative control system includes a receiving unit, at least one neural network-like unit, a database unit, and an output unit. The neural network-like unit determines the position of building materials to be installed on the surface, the cutting size of building materials, and at least one of the installation plans based on the data from the sensors and the building material information. The output unit issues commands to the robot based on the decision made by the neural network-like unit to control the robot to perform at least one of the operations of grabbing building materials, transporting building materials, positioning building materials on the surface, and installing building materials on the surface.

2. The collaborative robot system for installing decorative building materials according to claim 1, wherein: The manipulator is used to grasp and place building materials and can interact with the processing device. The manipulator has at least one moment sensor or torque sensor for detecting the force and torque applied during the transportation or installation process.

3. The collaborative robot system for installing decorative building materials according to claim 1, wherein: The size sensor is selected from an optical sensor, a laser scanner and a structured light system, the level sensor is selected from an inclinometer and a digital level, and the product information sensor is selected from a camera and a radio frequency identification card reader.

4. The collaborative robot system for installing decorative building materials according to claim 1, wherein: The processing device is a processing device that converts raw materials into finished products that meet construction requirements before the installation of building materials. The processing device is a cutting device, an adhesive applicator, or a roller device.

5. The collaborative robot system for installing decorative building materials according to claim 1, wherein: The neural network-like unit is trained with building material data, installation guidelines, and processing and installation knowledge of installation quality guidelines.

6. The collaborative robot system for installing decorative building materials according to claim 1, wherein: The neural network-like unit includes a serial neural network, a converter model, and a large language model.

7. The collaborative robot system for installing decorative building materials according to claim 1, wherein: The receiving unit is used to receive data from the sensor, and the database unit includes detailed information on building materials, installation and processing guidelines, and installation and processing quality guidelines.

8. A method for controlling a collaborative robot system for installing decorative building materials, comprising the following steps: Step S1: providing a collaborative robot system for installing decorative building materials according to any one of claims 1 to 7, and at least one building material; Step S2: The robot performs a preparation step, including using the sensor to sense and obtain sensor data including the size of the area to be installed, product information of the building materials, and the surface levelness, and sends the data to the collaborative control system. The receiving unit receives the sensor data, and the neural network-like unit combines the sensor data with information in the database to calculate an optimal processing plan and installation plan. Step S3: The robot executes a step of processing the building material, including using the sensor to sense the position and size of the building material according to the processing plan determined in the preparation step, the collaborative control system determining at least one method of grasping the building material based on the position and size of the building material, controlling the manipulator to grasp the building material and transport or place the building material to a processing device based on the determined grasping method, positioning the building material on the processing device, and controlling the processing device to process the building material; Step S4: The robot executes a step of installing the building materials, which includes transporting the building materials to the installation area according to the installation plan determined in the preparation step, and the robot controls the manipulator to adjust the position and posture of the building materials to adapt to the installation position of the building materials, and installs the building materials on the surface of the installation area; Step S5: The robot performs inspection to check whether the installed building materials meet the standards of the installation processing quality guide in the database unit.

9. The control method for a collaborative robot system for installing decorative building materials according to claim 8, wherein: In the above step S3, the processing of the building materials by the processing device includes cutting the building materials into a desired shape, applying adhesive or fixing the building materials with a nail gun, and removing at least a portion of the building materials or a combination of multiple building materials.

10. The control method of a collaborative robot system for installing decorative building materials according to claim 8, wherein: In the above step S5, at least one external device is further used to check the installation quality, and the external device is a 3D scanner or a camera group.

Images