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ROSMASTER R2📖
1.Preparation and First Trial
  • 1.1 Accessories introduction
  • 1.2 Precautions for battery
  • 1.3 First Trial
2.Assembly steps
  • Installaction Video
3.ROS1-Remote control course
  • 3.1 APP remote control
  • 3.2 Model aircraft remote control
  • 3.3 Handle remote control
4.ROS1-Hardware course
  • 4.1 About expansion board_V3.0
  • 4.1 About expansion board_V1.0
  • 4.2 STM32 Development environment
  • 4.3 Button to control the buzzer to whistle
  • 4.4 FreeRTOS application
  • 4.5 Serial communication
  • 4.6 SBUS model aircraft remote control
  • 4.7 CAN bus communication
  • 4.8 RGB colorful light bar
  • 4.9 Timer interrupt to control PWM servo
  • 4.10 Control serial port servos
  • 4.11 Nine-axis attitude sensor to obtain data
  • 4.12 Control motor
  • 4.13 Timer captures the encoder data
  • 4.14.1 Kinematic Analysis of Mecanum Wheel
  • 4.14.2 Kinematics Analysis of Ackermann Car
  • 4.15 PID control robot movement
5.ROS1-Basic course
  • 5.1 Update the firmware
  • 5.2 Turn off the self-starting process at startup
  • 5.3 Install the Rosmaster driver library
  • 5.4 Buzzer whistle
  • 5.5 Control PWM servo
  • 5.6 RGB colorful light bar special effects display
  • 5.7 Control motor
  • 5.8 Control robot movement
  • 5.9 Control Serial Servo
6.ROS1-Linux operating system
  • 6.1 Virtual machine installation and use
  • 6.2 Linux basics
  • 6.3 Remote control
  • 6.4 Multi-machine communication configuration
  • 6.5 Static IP and hotspot mode
  • 6.6 Bind the device ID
  • 6.7 Web page real-time monitoring
  • 6.8 Expansion tutorial
  • 6.9.1 Jetson Nano write sytem
  • 6.9.2 Jetson Xavier NX write system
  • 6.9.3 Jetson TX2 NX write system
  • 6.9.4 Raspberry Pi write system
7.ROS1-Docker-pi5
  • 1、Docker overview and docker installation
  • 2、Common commands for docker image containers
  • 3、Docker images deeply understand and publish images
  • 4、Docker hardware interaction and data processing
  • 5、Enter the bot's docker container
  • 6、Robot development environment construction in Docker
  • 7、How customers can update docker images in the future
8.ROS1-ROS basic course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
9.ROS1-OpenCV courses
  • 9.1 Getting started with Open Source CV
  • 9.2 Geometric transformation
  • 9.3 Image processing and drawing text line segments
  • 9.4 Image beautification
  • 9.5 Opencv application
  • 9.6 AR vision
  • 9.7 AR QR code
  • 9.8 ROS+Opencv foundation
  • 9.9 ROS+Opencv application
  • 9.10 Data transformation and point cloud
  • 9.11 MediaPipe development
10.ROS1-Robot control course
  • 10.1 PID algorithm theory
  • 10.2 Robot PID debugging
  • 10.3 Robot information release
  • 10.4 Robot keyboard control
  • 10.5 Robot handle control
  • 10.6 Robot state estimation
  • 10.7 Robot calibration
  • 10.8 Robot URDF model
11.ROS1-Depth camera course
  • 11.1 How to use the Astra camera
  • 11.2 Astra camera calibration
  • 11.3 Astra Color Tracking
  • 11.4 Astra Object Tracking
  • 11.5 Visual tracking autopilot
  • 11.6 Pure visual 2D mapping and navigation
  • 11.7 RTAB-Map 3D mapping navigation
  • 11.8 ORB_SLAM2 basics
  • 11.9 ORB_SLAM2_Octomap
12.ROS1-Lidar course
  • 11.1 Lidar basic-SLAM
  • 11.1 Lidar basic-EAI
  • 11.2 Lidar avoiding
  • 11.3 Lidar guard
  • 11.4 Lidar follow
  • 11.5 Patrol game
  • 11.6 gmapping mapping
  • 11.7 hector mapping
  • 11.8 karto mapping
  • 11.9 cartographer mapping
  • 11.10 rrt_exploration mappin
  • 11.11 AMCL
  • 11.12 Navigation and avoiding
  • 11.13 APP mapping and navigation
  • 11.14 TEB path planning algorithm
13.ROS1-Multi-robot control course
  • 13.1 Multi-machine handle control
  • 13.2 Multi-machine navigation
  • 13.3 Multi-machine formation
  • 13.4 Multi-machine surround
14.ROS1-Deep learning courses
  • 14.1 KNN recognizes handwritten digits
  • 14.2 Basic use of TensorFlow
  • 14.3 Basic use of PyTorch(jetson)
  • 14.4 yolov5 model training(jetson)
  • 14.5 yolov5+tensorrt acceleration(jetson)
  • 14.6 yolov4-tiny
15.ROS1-Voice control courses
  • 15.0 How to use old voice module in new image
  • 15.1 Introduction of voice control module-NEW
  • 15.2 Voice control module port binding-NEW
  • 15.1 Introduction of voice control module-Old
  • 15.2 Voice control module port binding-Old
  • 15.3 Voice control car movement
  • 15.4 Voice control Autopilot
  • 14.5 Voice control color recognition
  • 15.6 Voice control color tracking
  • 15.7 Voice control multi-point navigation
16.ROS1-Model training Autopilot
  • 16.0 ReadMe
  • 16.1 yolov5 to train traffic signs
  • 16.2 TensorRt acceleration identification mark
  • 16.3 Road sign indication function description
  • 16.4 Collect data
  • 16.5 Training model
  • 16.6 Model transformation and application
  • 16.7 AI Autopilot
17. ROS2-Remote control course
  • 1. APP remote control
  • 2. Model aircraft remote control
  • 3. Handle remote control
18.ROS2-Hardware course
  • 1. Expansion board introduction_V3.0
  • 1. Expansion board introduction_V1.0
  • 2. STM32 development environment build
  • 3. Key control buzzer sounding
  • 4. FreeRTOS applications
  • 5. Serial communication
  • 6. SBUS model airplane remote control
  • 7. CAN bus communication
  • 8. RGB colorful light bar
  • 9. Timer interrupt control PWM servos
  • 10. Control serial servos
  • 11. Nine-axis attitude sensor acquires data
  • 12. Control motor forward and reverse
  • 13. Timer Capture Encoder Data
  • 14. Theory of Robot Kinematics Analysis
  • 14.1.Mecanum wheel
  • 14.2.Ackerman
  • 14.3.4WD
  • 15. PID control of robot motion
19. ROS2-Basic course
  • 1. Update the firmware of the expansion board
  • 2.Close the large self-starting program at boot
  • 3. Install Rosmaster driver library
  • 4. Buzzer sounding
  • 5. Control PWM servo
  • 6. RGB colorful light bar special effects show
  • 7. Control motor forward and reverse
  • 8. Controlling robot motion
  • 9. Control serial servos
20. ROS2-Linux operating systemnew
  • 01. Virtual Machines
  • 02. Linux Basics
  • 03. Remote control
  • 04. Multi-computer communication configuration
  • 05. Static ip and hotspot mode
  • 06. Bind device ID
  • 07.Webpage real-time monitoring
  • 08. Expansion Tutorial
  • 09-1.Jetson Nano write system file
  • 09-2. Raspberry Pi write system file
  • 09-3.Orin write system
  • 10.Jetpack old system upgraded to SUPER systemnew
21.ROS2 -Docker(Nano Pi)
  • 1. docker overview and docker installation
  • 2. docker image container common command
  • 3. docker image in-depth understanding and publishing images
  • 4. docker hardware interaction and data processing
  • 5. Enter the docker container of the robot
  • 6. docker in the robot development environment build
  • 7. Customer's method of updating docker images in the future
22.ROS2- ROS2 Basic Tutorial
  • 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
23. ROS2-Robot control course
  • 1. PID algorithm theory
  • 2. Robot information release
  • 3. Robot control
  • 4. Robot state estimation
  • 5. Robot calibration
  • 6. URDF model
24. ROS2-Lidar course
  • 1-1. Introduction and use of SLAM lidar
  • 1-2. Introduction and use of 4ROS lidar
  • 2. Lidar obstacle avoidance fun gameplay
  • 3. Lidar tracking fun gameplay
  • 4. Patrol function play
  • 5. gmapping map building algorithm
  • 6. cartographer building algorithm
  • 7. Navigation and obstacle avoidance
  • 8. Rosmaster_R2 using the app to build maps
  • 9. Rosmaster_R2 navigating with the app
25. ROS2-OpenCV courses
  • 1. opencv basic course
  • 2. ROS+opencv application
  • 3. QR code creation and recognition
  • 4. AR Vision
  • 5. mediapipe fun gameplay
  • 6. Patrol line autopilot
26. ROS2-Depth camera courses
  • 1. Depth camera use
  • 2. Camera calibration
  • 3. Color tracking
  • 4. KCF object tracking
  • 5. ORB_SLAM2 Basics
  • 6. ORB_SLAM2 PCL mapping
  • 7. ORB_SLAM2 Octomap mapping
  • 8. RTAB-Map 3D mapping navigation
27.ROS2- Voice control courses
  • 0. How to use old voice module in new image
  • 1.1 Introduction to the module-New
  • 1.2 Voice Control Module Port Binding-New
  • 1.3 Introduction to the module-Old
  • 2. Voice control car movement
  • 3. Voice control autopilot
  • 4. Voice control color recognition
  • 5. Voice control color tracking
  • 6. Voice control multi-point navigation
28.Deep learning courses(SUPER)
  • 1.KNN recognizes handwritten digitsnew
  • 2.Basic use of TensorFlownew
  • 3.Basic use of PyTorch(jetson)new
  • 4.YOLOv11Model conversion(SUPER)new
  • 5.YOLOv11Dataset annotation(SUPER)new
  • 6.YOLOv11Model conversion + tensorrt acceleration(SUPER)new
  • 7.YOLOv11Object recognition(SUPER)new
29. ROS2-Multi-robot control
  • 1. Multi-robot control
  • 2. Multi-robot navigation
LLM tutorial
1.Development environment
  • 0. Model usage instructions
  • 1.Environments deployment
  • 2.Dialogue platform installation
2.Jetson Nano B01
  • 1.Qwen2 model
  • 2.TinyLlama model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.Orca Mini model
  • 6.StarCoder2 model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA-Phi3
3.Jetson Orin NXNANO
  • 1.Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Codellama model
  • 7.DeepSeek-R1 model
  • 8.Orca Mini model
  • 9.StarCoder2 model
  • 10.TinyLlama model
  • 11.Expand LLaVA
  • 12.Expand LLaVA-Phi3
4.Raspberry Pi 5B
  • 1.Meta AI Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Meta AI Codellama model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA
FAQ
  • 1.Using your own Jetson board, car cannot start normally
Download
  • RemoteCtrl_APP(iOS/Android)
  • Mapping_APP(iOS_Android)
  • Instruction Manual
  • SystemFile_ROS1
  • SystemFile_ROS2
  • SystemFile_ROS2_OrinNANOSUPER
  • SystemFile_ROS2_OrinNXSUPER
  • VM software
  • Code
  • Jetson_Boot_USB.tar.gz
  • Autopilot Annex
  • Other_Annex_File
  • LLM_SystemFile
  • ROS2_Basic_VM
Download ZIP

Welcome to ROSMASTER R2 repository

15.1 Introduction of voice control module-Old

1. Introduction of voice module

1.1. Voice Interaction Module Introduction

The CI1302 is a new-generation, high-performance neural network intelligent voice chip developed by Qiyingtailun. It integrates Qiyingtailun's proprietary brain neural network processor, the BNPU V3, and a CPU core. It boasts a system clock speed of up to 220MHz, built-in SRAM of up to 640KB, a power management unit (PMU) and an RC oscillator, a dual-channel, high-performance, low-power audio codec, and multiple peripheral control interfaces such as UART, IIC, IIS, PWM, GPIO, and PDM. Requiring only a small number of peripheral components such as resistors and capacitors, the chip can implement hardware solutions for various intelligent voice products, offering an extremely high cost-effectiveness.

Utilizing third-generation hardware BNPU technology, it supports neural networks such as DNN, TDNN, RNN, and CNN, as well as parallel vector operations. It enables voice recognition, voiceprint recognition, command word self-learning, voice detection, and deep learning noise reduction. This chip solution also supports multiple global languages, including Chinese, English, and Japanese. It can be widely used in home appliances, lighting, toys, wearable devices, industrial, and automotive products, enabling voice interaction and control, as well as various intelligent voice solutions.

The CI1302 chip features a Brain Neural Network Processing Unit (BNPU) core, supporting offline NN acceleration and hardware acceleration for voice signal processing. The CPU clock speed can reach 220MHz, enabling offline far-field voice recognition. It also has 2MB of built-in FLASH memory and supports 300 command words.

1.2 Operating Principle

This module uses a command-based wakeup mode. The user must speak the preset wakeup word to activate the voice interaction module. Once activated, voice recognition will begin. The default wakeup keyword in the factory firmware is "Xiao Ya Xiao Ya." If no voice is recognized after 20 seconds, the module enters sleep mode and must be reactivated upon further use.

When the CI1302 chip recognizes a corresponding voice entry, it transmits it through the serial port and IIC interface and reports it back. The IIC chip stores the received voice command and transmits it via the IIC slave protocol.

The module supports modifying wake-up words, command words, and customizing entries. Learn how to do this in the tutorials "2. Modifying Wake-Up and Command Words" and "3. Creating Custom Protocol Entry."

1.3. Notes

  • Use a 5V power supply. Voltages exceeding 5V will damage the module.
  • Use in a quiet environment; noisy environments will affect recognition performance.
  • When speaking a term, speak loudly and slowly. It is recommended to stay within 5 meters of the module.

1.4. Hardware Interface Description

image-20250305200724239

image-20250305193614226

Serial NumberHardware NameDescription
1SpeakerConverts analog signals into sound
2Slide SwitchSwitches the serial port for firmware burning
3MicrophoneConverts sound into analog signals
4RST ButtonReset Button
5Power Indicator (Red)Steady on when power is normal
6Type-C PortUsed for power supply and downloading CI1302 chip and SCT8 firmware updates
7Amplifier ChipConverts digital signals into analog signals to drive the speaker
8CI1302 ChipHigh-performance voice recognition chip that recognizes voice and outputs signals
9Reverse Connection Protection5V and GND reverse connection protection
10IIC PortActs as a slave device, used for power supply and communication with the host device
11Serial PortProvides an external serial port for controlling announcements via protocol
12STC8H chipConverts voice chip commands into IIC protocol commands and serial port commands

1.5 Using the Voice Module

1.2.1 Wiring

The module connects to the ROSMASTER main control unit (or hub board) via a universal Type-C data cable.

image-20250305200724239

image-20250305200724239

1.2.2 Wake-up Word

The wake-up word is "Hi,yahboom." When waking up, speak slowly; speaking too quickly will prevent the module from recognizing you. Only after waking up the module can it recognize other command words. Within 20 seconds of waking up, there's no need to wake up again; simply speak the command word.

1.2.3 Command Words

1) Voice Control of Car Movement

Voice Recognition ContentVoice Module Sends to HostHost Sends to Voice ModuleVoice Broadcast Content
Car StopAA 55 00 01 FBAA 55 00 01 FBOK, Stopped
Car ForwardAA 55 00 04 FBAA 55 00 04 FBOK, Moving Forward
Car BackwardAA 55 00 05 FBAA 55 00 05 FBOK, Moving Backward
Car Turn LeftAA 55 00 06 FBAA 55 00 06 FBOK, Turning Left
Car Turn RightAA 55 00 07 FBAA 55 00 07 FBOK, turning right
Car turns leftAA 55 00 08 FBAA 55 00 08 FBOK, turning left
Car turns rightAA 55 00 09 FBAA 55 00 09 FBOK, turning right

2) Voice Control RGB Light Strip Effect

Voice Recognition ContentVoice Module Sends to HostHost Sends to Voice ModuleVoice Broadcast Content
Turn off lightsAA 55 00 0A FBAA 55 00 0A FBOK, lights turned off
Turn on red lightAA 55 00 0B FBAA 55 00 0B FBOK, red light is on
Green light onAA 55 00 0C FBAA 55 00 0C FBOK, green light is on
Blue light onAA 55 00 0D FBAA 55 00 0D FBOK, blue light is on
Yellow light onAA 55 00 0E FBAA 55 00 0E FBOK, yellow light is on
Turn on the running lightAA 55 00 0F FBAA 55 00 0F FBOK, running light is on
Turn on the gradient lightAA 55 00 10 FBAA 55 00 10 FBOK, gradient light is on
Turn on the breathing lightAA 55 00 11 FBAA 55 00 11 FBOK, the breathing light is on
Battery level displayAA 55 00 12 FBAA 55 00 12 FBOK, the battery level is displayed

3) Voice Control Color Recognition

Voice Recognition ContentVoice Module Sends to HostHost Sends to Voice ModuleVoice Broadcast Content
What color is this?AA 55 00 3C FBAA 55 FF 3D FBThis is red
What color is this?AA 55 00 3C FBAA 55 FF 3E FBThis is blue
What color is this?AA 55 00 3C FBAA 55 FF 3F FBThis is green
What color is this?AA 55 00 3C FBAA 55 FF 40 FBThis is yellow

4) Voice Control Color Tracking

Voice Recognition ContentVoice Module Sends to HostHost Sends to Voice ModuleVoice Broadcast Content
Start Tracking YellowAA 55 00 48 FBAA 55 00 48 FBOK, start tracking yellow
Start Tracking RedAA 55 00 49 FBAA 55 00 49 FBOK, start tracking red
Start Tracking GreenAA 55 00 4A FBAA 55 00 4A FBOK, start tracking green
Start Tracking BlueAA 55 00 4B FBAA 55 00 4B FBOK, start tracking blue
Cancel TrackingAA 55 00 4C FB ​​AA 55 00 4C FB ​​OK, tracking canceled

5) Voice-controlled autonomous driving (line patrol)

Voice recognition contentVoice module sends to hostHost sends to voice moduleVoice broadcast content
Turn off line patrolAA 55 00 16 FBAA 55 00 16 FBOK, line patrol function turned off
Red line patrolAA 55 00 17 FBAA 55 00 17 FBOK, red line patrol function turned on
Green line patrolAA 55 00 18 FBAA 55 00 18 FBOK, green line patrol function turned on
Blue line patrolAA 55 00 19 FBAA 55 00 19 FBOK, the Blue Line patrol function has been activated
Yellow Line patrolAA 55 00 1A FBAA 55 00 1A FBOK, the Yellow Line patrol function has been activated

6) Voice-controlled multi-point navigation

Voice recognition contentVoice module sends to hostHost sends to voice moduleVoice broadcast content
Navigate to location 1AA 55 00 13 FBAA 55 00 13 FBOK, heading to location 1
Navigate to location 2AA 55 00 14 FBAA 55 00 14 FBOK, heading to location 2
Navigate to location 3AA 55 00 15 FBAA 55 00 15 FBOK, heading to position 3
Navigate to position 4AA 55 00 20 FBAA 55 00 20 FBOK, heading to position 4
Return to originAA 55 00 21 FBAA 55 00 21 FBOK, returning to origin
Voice control module port binding-NEW
Voice control module port binding-Old

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