yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
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
  • 3.Install the map
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
  • 3.Control single servo
  • 4.Read servo angle
  • 5.Control all servo
  • 6.DOFBOT up down left right
  • 7.DOFBOT dancing
  • 8.DOFBOT memory action
  • 9.DOFBOT grab block
  • 10.Porter
  • 11.Stack block
  • 12.USB camera display
  • 13.Synchronous action
6.AI Vision Basic Course
  • 1.Gesture Recognition
  • 2.Color threshold adjustment Color calibration
  • 3.Color recognition
  • 4.Face recognition
  • 5.Garbage recognition
  • 6.Yolo object recognition
  • 7.Real-time web view
7.2D Visual Tracking Course
  • 1.PID algorithm basics
  • 2.Color block positioning
  • 3.Color block tracking
  • 4.Face positioning
  • 5.Face tracking
  • 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
9.2D Mediapipe Course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall inspection
  • 4.Face detection
  • 5.Face recognition
  • 6.Face effects
  • 7.3D object recognition
  • 8.Paintbrush
  • 9.Finger control
  • 10.Gesture recognition
  • 11.Gesture control robotic arm action group
  • 12.Arm posture control robotic arm
  • 13.Palm Targeting
  • 14.Robotic arm tracks the palm
  • 15.Fingertip trajectory recognition
  • 16.Fingertip trajectory control robotic arm
  • 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
  • 8.Voice Recognition Target Tracking
  • 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
  • 4.AI Encyclopedia-Nutritional Analysis
  • 5.AI Encyclopedia-Problem Solving Expert
  • 6.AI Encyclopedia-English Spelling
  • 7.AI Butler-Garbage Sorting
  • 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
  • 6. MoveIt Inverse Kinematics Design
  • 7. MoveIt Cartesian Path
  • 8. MoveIt Scene Design
  • 9. MoveIt Trajectory Planning
  • 10. MoveIt Collision Detection
22.YOLOv11 Development Course
  • 1. YOLO Environment Setup
  • 2. CLI Usage
  • 3. Object Detection
  • 4. Instance Segmentation
  • 5. Pose Estimation
  • 6. Image Classification
  • 7. Oriented Bounding Boxes Object Detection
  • 8. Model Conversion
  • 9. Model Prediction
23. Linux Operating System
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
24.OpenCV Course
  • 1.Introduction to Open Source CV
  • 2.Image reading and display
  • 3.Picture writing
  • 4.Image Quality
  • 5.Pixel operations
  • 6.Image zoom
  • 7.Picture cut
  • 8.Picture pan
  • 9.Picture mirroring
  • 10.Affine transformation
  • 11.Picture rotation
  • 12.perspective transformation
  • 13.Grayscale processing
  • 14.Binary image
  • 15.Edge green detection
  • 16.Line segment drawing
  • 17.Rectangular circle drawing
  • 18.Text and picture drawing
25.Advanced Visuals Course
  • 1. QR Code
  • 2. Human Pose Estimation
  • 3. Object Detection
  • 4. AR Vision
  • 5. ROS + OpenCV Basics
26.ROS2 Basic Course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
27.Jupyter Lab Usage Course
  • 0.Read the document before operation
  • 1.Jupyter Lab environment construction
  • 2.Basic use of Jupyter Widgets
  • 3.Launch JupyterLab
  • 4.How to Use JupyterLab
Download
  • APP(iOS/Android)
  • VM File
  • Instruction manual
  • Hardware_3DModelFile
  • PC_Software
  • Code
  • Communication Protocol-Python Library
  • Tools
Download ZIP

Welcome to DOFBOT SE repository

1.Voice Control AprilTag ID Sorting

Voice Control AprilTag ID Sorting

1. Function Description

Voice commands are issued to sort AprilTag IDs. The robotic arm will grasp the AprilTag block corresponding to the ID in the command based on the instruction received.

2. Startup and Operation

2.1 Startup

xxxxxxxxxx
# Start robotic arm + camera inverse kinematics program
ros2 launch dofbot_info camera_arm_kin.launch.py 
# Start voice recognition program
ros2 launch yahboom_speech speech.launch.py 
# Start robotic arm control program
ros2 run dofbot_voice_ctrl grasp_VC 
# Start AprilTag recognition program
ros2 run dofbot_voice_ctrl apriltag_detect 

2.2 Operation Steps

After all programs are running, place the four AprilTags with different IDs in the camera field of view. Say "Hi, yahboom" to the voice recognition module, and the speaker will announce "I am here". Then say "Sort AprilTag No.1"/"Sort AprilTag No.2"/"Sort AprilTag No.3"/"Sort AprilTag No.4" to the voice module. The robotic arm will lower its gripper to grasp the AprilTag block with the target ID, and the voice module will announce "OK". After grasping the AprilTag block, it will be placed at the designated location. Finally, the robotic arm returns to its initial pose, and the voice announcement module will announce "Placement complete".

image-20260319174949918

3. Core Code Analysis

3.1 Voice Recognition Node speech_recognize_node

Source code path: /home/yahboom/dofbot_ws/src/yahboom_speech/yahboom_speech/speech_recognize.py

xxxxxxxxxx
import time
import rclpy
from rclpy.node import Node
from std_msgs.msg import Int8
import pandas as pd
# Import voice recognition and announcement library
# 导入语音识别播报库
from Speech_Lib import Speech
# Create voice recognition and announcement object
# 创建语音识别播报的对象
mySpeech = Speech()
# Create voice recognition result publisher
# 创建语音识别结果发布者
self.pub_res = self.create_publisher(Int8,'voice_result',1)
# Call library function to get recognition result
# 调用库中的函数,得到识别结果
result = mySpeech.speech_read()
# Publish voice recognition result topic
# 发布语音识别结果话题
self.voice_command.data = result
self.pub_res.publish(self.voice_command)

3.2 Voice Announcement Node voice_player_node

Source code path: /home/yahboom/dofbot_ws/src/yahboom_speech/yahboom_speech/voice_player.py

This section mainly describes how to create a subscriber for voice announcements and how to call the library function to announce voice content.

xxxxxxxxxx
# Import voice recognition and announcement library
# 导入语音识别播报库
from Speech_Lib import Speech
# Create voice recognition and announcement object
# 创建语音识别播报的对象
mySpeech = Speech()
​
# Create subscriber for voice announcement result
# 创建订阅语音播报结果订阅者
self.sub_playID = self.create_subscription(Int8,'player_id',self.playercallback,1000)
​
# Callback function
# 回调函数
def playercallback(self,msg):
    # Extract voice announcement topic data
    # 提取语音播报话题数据
    ID_value = msg.data
    print("ID_value: ",ID_value)
    if ID_value!=0:
        play_id = ID_value
        print("play_id = ",play_id)
        # Call library's void_write to play audio file
        # 调用库中的void_write来播放音频文件
        mySpeech.void_write(int(play_id))

3.3 AprilTag Recognition Node apriltag_detect.py

Source code path: /home/yahboom/dofbot_ws/src/dofbot_voice_ctrl/dofbot_voice_ctrl/AprilTag/apriltag_detect.py

This section mainly describes how to subscribe to, process voice recognition result topics, and publish voice announcement topics.

xxxxxxxxxx
# Create subscriber for voice recognition result topic
# 创建订阅语音识别结果话题的订阅者
self.sub_voice = self.create_subscription(Int8,"voice_result",self.getVoiceResultCallBack,1)
# Create publisher for voice announcement topic
# 创建发布语音播报话题的发布者
self.pub_playID = self.create_publisher(Int8,"player_id", 1)
​
# Callback function
# 回调函数
def getVoiceResultCallBack(self,msg):
    # When the voice recognition result topic data is 95, 96, 97, 98, it represents the commands for sorting AprilTag No.1/2/3/4 respectively
    # 当语音识别结果话题的数据为95、96、97、98时,分别表示分拣一/二/三/四号机器码的指令
    if msg.data == 95 or msg.data == 96 or msg.data == 97 or msg.data == 98:
        # Change self.pubPos_flag to indicate that the AprilTag position information topic can be published
        # 改变self.pubPos_flag,标志着可以发布机器码位置信息话题
        self.pubPos_flag = True
        play_id = Int8()
        # Voice announcement result 45, playing audio "OK", publish this topic information to the voice announcement node
        # 语音播报结果45,播放的音频为"好的",发布该话题信息到语音播报节点
        play_id.data = 45
        self.pub_playID.publish(play_id)

3.4 Robotic Arm Grasping AprilTag Node apriltag_grasp_VC.py

Source code path: /home/yahboom/dofbot_ws/src/dofbot_voice_ctrl/dofbot_voice_ctrl/AprilTag/apriltag_grasp_VC.py

​x
# Define placement position based on the ID of the AprilTag to be grasped
# 根据待抓取机器码的id定义放置位置
def move(self):
    self.Arm.Arm_serial_servo_write(5, 90, 2000)
    time.sleep(2.0)        
    self.Arm.Arm_serial_servo_write(6, 140, 2000)
    time.sleep(2.0)        
    self.Arm.Arm_serial_servo_write(6, self.joint_6, 2000)
    time.sleep(2.0)
    self.Arm.Arm_serial_servo_write(2, 120, 2000)
    time.sleep(2.0)
    print("self.cur_tagId",self.cur_tagId)
    # Blue
    # 蓝色
    p_1 = [30, 70, 0, 54, 265, self.joint_6]
    # Green
    # 绿色
    p_2 = [150, 70, 7, 56, 265, self.joint_6]
    # Red
    # 红色
    p_3 = [50, 70, 7, 58, 265, self.joint_6]
    # Yellow
    # 黄色
    p_4 = [135, 70, 7, 54, 265, self.joint_6]
    if self.cur_tagId == 1:
        self.down_joint = p_1
    elif self.cur_tagId == 2:
        self.down_joint = p_2
    elif self.cur_tagId == 3:
        self.down_joint = p_3
    elif self.cur_tagId == 4:
        self.down_joint = p_4   
    print("self.down_joint",self.down_joint)
    self.down_joint[5] = self.joint_6
    self.Arm.Arm_serial_servo_write6_array(self.down_joint,2000)
    time.sleep(2.0)
    self.Arm.Arm_serial_servo_write(6, 90, 2000)
    time.sleep(2.0)
    self.Arm.Arm_serial_servo_write(2, 90, 2000)
    time.sleep(2.0)
    self.Arm.Arm_serial_servo_write6_array(self.init_joints,2000)
    time.sleep(4)
    # Publish grasp completion, reset grasp flag
    # 发布抓取完成,重置抓取标志位
    self.grasp_flag = True
    grasp_done = Bool()
    grasp_done.data = True
    self.pubGraspStatus.publish(grasp_done)
​
KCF Object Tracking
Voice Control Color Block Sorting

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文