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DOFBOT SE📖
1.First Trial
  • 1.First Trial
  • 2.Analysis of common problems
  • 3.Calibration offset
  • 4.Precautions for DIY Robotic Arm
  • 5.Robotic arm gripping anomaly solutions
2.Assembly Course
  • 1.Installation video
  • 2.Calibrate the Robotic Arm
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3.Remote Control Course
  • 1.Mobile APP control
  • 2.USB handle control
  • 3.PC software control
4.Preparation
  • 1.Manage APP control service
  • 2.Manage JupyterLab service
  • 3.Write STM32 firmware
  • 4.Introduction to expansion board
5.Basic Control Course
  • 1.Control RGB light
  • 2.Control buzzer
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  • 6.DOFBOT up down left right
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6.AI Vision Basic Course
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7.2D Visual Tracking Course
  • 1.PID algorithm basics
  • 2.Color block positioning
  • 3.Color block tracking
  • 4.Face positioning
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  • 6.Gesture recognition fixed action
8.2D Visual Grasping Course
  • 0.Visual positioning
  • 1.Gesture recognition stack blocks
  • 2.Color recognition grab blocks
  • 3.Catch game
  • 4.Color sorting and stacking
  • 5.Garbage sorting
  • 6.Color interaction
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  • 1.Hand detection
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  • 14.Robotic arm tracks the palm
  • 15.Fingertip trajectory recognition
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  • 17.Gesture Grasp and Release Objects
  • 18.Finger Control Robot Arm
10.AI Large Model Voice Module (Must Read)
  • 1. Introduction to AI Large Model Voice Module
  • 2. Flash the firmware (Must read)
  • 3. Modify the wake-up word and command word
11.2D Voice Control Course
  • 1.Simple Voice Control
  • 2.Smart Voice Control
  • 3.Voice Action Control
  • 4.Memory Learning Mode
  • 5.Color Recognition with Voice Broadcast
  • 6.Color Recognition and Grasping with Voice Broadcast
  • 7.Color Recognition and Sorting with Voice Broadcast
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  • 9.Voice Control Stacking
  • 10.Voice Control Color Sorting
  • 11.Garbage Recognition with Voice Broadcast
  • 12.Garbage Sorting with Voice Broadcast
12.Robotic Arm Control and Inverse Kinematics
  • 1. Robotic arm ROS control
  • 2. Inverse solution
13.3D Sorting and Grasping Course
  • 1.AprilTag ID sorting
  • 2.MediaPipe Gesture-AprilTag ID sorting
  • 3.MediaPipe Gesture-AprilTag distance sorting
  • 4.Block color sorting
  • 5.Block different shape sorting
  • 6.Yolov11 garbage sorting
14.3D Tracking Course
  • 1.AprilTag Tracking
  • 2.Color Block Tracking
  • 3.KCF Object Tracking
15.3D Voice Control for Sorting & Tracking Course
  • 1.Voice Control AprilTag ID Sorting
  • 2.Voice Control Color Block Sorting
  • 3.Voice Control Yolov11 Garbage Recognition Sorting
  • 4.Voice Control AprilTag Tracking
  • 5.Voice Control Color Block Tracking
  • 6.Voice Control Object Tracking
16.AI Model Basics
  • 1.AI large model types and principles
  • 2.RAG retrieval enhancement and model training samples
  • 3.Embodied intelligent robot system architecture
  • 4.Embodied intelligent functions core source code
17.AI Model Development
  • 1. Register a model service provider account
  • 2. Configure API-KEY
  • 3. Introduction to Dify
  • 4. Basic Dify Features
  • 5. AI Large Model Development - chatbot
  • 6. Deploy the RAG knowledge base
  • 7. RAG knowledge base + chatbot
  • 8. AI agent workflow
18.AI Model – Text Version
  • 1.Semantic understand instruction following
  • 2.Multimodal visual understand
  • 3.Text Large Model + robotic arm control
  • 4.Multimodal Large Model+video understanding
  • 5.Multimodal Large Model+robotic arm gripping
  • 6.Multimodal Large Model+robotic arm tracking
  • 7.Multimodal Large Model+robotic arm sorting
  • 8.Multimodal Large Model+robotic arm handling
  • 9.Multimodal Large Model+Color Blocks Back In Place
  • 10.Multimodal Large Model + Intent Prediction + Robotic Arm Gripping
  • 11.Text Large Model + YOLOv11 + Intelligent Garbage Classification
19.AI Model – Voice Version
  • 1.Semantic understand instruction following
  • 2.Multimodal visual understand
  • 3.Text Large Model + robotic arm control
  • 4.Multimodal Large Model+video understanding
  • 5.Multimodal Large Model+robotic arm gripping
  • 6.Multimodal Large Model+robotic arm tracking
  • 7.Multimodal Large Model+robotic arm sorting
  • 8.Multimodal Large Model+robotic arm handling
  • 9.Multimodal Large Model+Color Blocks Back In Place
  • 10.Multimodal Large Model + Intent Prediction + Robotic Arm Gripping
  • 11.Text Large Model + YOLOv11 + Intelligent Garbage Classification
20.AI Model – Fun Applications
  • 1.AI Butler-Intent Inference
  • 2.AI Encyclopedia-Arithmetic Master
  • 3.AI Encyclopedia-You asked I Pointed
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  • 8.AI Top Chef
21.MoveIt2 Course
  • 1. MoveIt Configuration
  • 2. MoveIt Usage
  • 3. MoveIt Drive Real Robot
  • 4. MoveIt Random Movement
  • 5. MoveIt Forward Kinematics Design
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  • 7. MoveIt Cartesian Path
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  • 10. MoveIt Collision Detection
22.YOLOv11 Development Course
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
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  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Conversion
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23. Linux Operating System
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24.OpenCV Course
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Welcome to DOFBOT SE repository

7.Multimodal Large Model+robotic arm sorting

Multimodal Large Model+robotic Arm Sorting

Function Description

After the program runs, after waking up the voice module, input the color block sorting order by voice. The large model will plan the steps to complete the color block sorting task, then the program will control the robotic arm to sort the color blocks in order and place them at the designated positions.

Startup

Open the terminal and enter the command:

ros2 launch largemodel largemodel_control.launch.py

After waking up the module, input by voice:

xxxxxxxxxx
Sort the color blocks on the desktop in the order of yellow, red, green

The program will sort according to the given order of yellow, red, blue, green. Before sorting the yellow color block, it must first detect whether it is in the removal list. If it is, it will directly grip from the removal list and place it at the yellow color block placement point; if not, it will determine whether there are other color blocks on top of the yellow color block. If there are, it will first remove the other color blocks on top of the yellow color block. If not, it will directly grip and place it at the yellow color block placement point. Other color blocks are also sorted according to this execution order until the task ends.

Task Planning

  1. Call check_remove(color) function to check if the current target color block to be sorted exists in the removal list (where color is the color of the current target color block to be sorted, value range is red, blue, green or yellow);

  2. If the current target color block to be sorted exists in the removal list, execute the following operations: (1) Call grasp_from_rm_list(color) function to grip the current target color block to be sorted from the removal list (meaning of color parameter is the same as above); (2) Call arm_stack(color) to place the target color block at the specified position (where color parameter meaning is the same as above).

  3. If the target color block does not exist in the removal list, follow these steps to sort the current color block to be sorted (only output one action function at a time): (1) Call seewhat() function to find the current target color block to be sorted; (2) Call seewhat() function to determine if there are other objects on top of the current target color block to be sorted; (3) If there are no other objects on top of the current target color block to be sorted, execute the following steps (only output one action function at a time): ① Call grasp_obj(x1, y1, x2, y2) function to grip the current target color block to be sorted (where (x1, y1, x2, y2) are the top surface border coordinates of the current target color block to be sorted); ② Call arm_stack(color) to place the current target color block to be sorted at the specified position (where color parameter meaning is the same as above). (4) If there are other objects on top of the current target color block to be sorted, execute the following steps to first remove that object then sort the current target color block to be sorted, here only one action function can be output at a time: ① Call remove_obj(x1, y1, x2, y2, color) function to remove that object (where (x1, y1, x2, y2) are the top surface border coordinates of that object, color is the color of that object, value range is red, blue, green or yellow); ② Call seewhat() function to observe the environment; ③ If there are no other objects on top of the current target color block to be sorted, call grasp_obj(x1, y1, x2, y2) function to grip the current target color block to be sorted (where (x1, y1, x2, y2) are the top surface border coordinates of the current target color block to be sorted); ④ Call arm_stack(color) to place the target color block at the specified position (where color parameter meaning is the same as above).

Core Code Analysis

Please refer to the Core Code Analysis content in the tutorial 【AI Model-Text Version】-【Multimodal Large Model + robotic Arm Sorting】. The voice version and text version have the same action functions; only the input method for task commands is different.

Multimodal Large Model+robotic arm tracking
Multimodal Large Model+robotic arm handling

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