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ROSMASTER A1 PRO📖
00.Configuration and Operation Guide
  • 0. Unboxing and Review
  • 1.Assembly Videos
  • 2.User Manual
  • 3.Enter Docker (For Raspberry Pi)
  • 4.A1Pro Front Wheel Servo Calibration
  • 5.USB Camera Calibration
  • 6.Depth Camera Calibration
  • 7.FAQ
  • 8.Desktop Configuration Center and Remote Control Guide
01.Chassis Control Course
  • 1.Robot Information Publishing
  • 2.Robot Handle Control
  • 3.Robot Keyboard Control
  • 4.Linear Velocity Calibration
  • 5.Angular Velocity Calibration
  • 6.Robot URDF Model
  • 7.Robot EKF State Estimation
02.Lidar Course
  • 1.Lidar Introduction and Use
  • 2.Lidar Obstacle Avoidance
  • 3.Lidar Following
  • 4.Lidar Patrol
  • 5.GMapping-SLAM Mapping
  • 6.Cartographer-SLAM Mapping
  • 7.Slam-Toolbox Mapping
  • 8.Lifelong Mode Mapping
  • 9.Navigation2 Single Point Navigation
  • 10.Navigation2 Multi Point Navigation
  • 11.Cartographer Relocalization Navigation
  • 12.Slam-Toolbox Localization Navigation
  • 13.Synchronous Mapping And Navigation
  • 14.Aruco Visual Relocalization Navigation
  • 15.Mobile App Mapping And Navigation
  • 16.AprilTag Transport
  • 17.Color Block Transport
03.USB Camera-Depth Camera Course
  • 1.USB Camera Introduction
  • 2.USB Camera Intrinsic Calibration
  • 3.Nuwa-HP60C Camera Introduction (Depth Camera Only)
  • 4.Depth Camera Distance Measurement (Depth Camera Only)
  • 5.Depth Pseudo Color Image (Depth Camera Only)
  • 6.Block Volume Calculation (Depth Camera Only)
  • 7.Edge Detection (Depth Camera Only)
  • 8.RTAB-Map SLAM Mapping (Depth Camera Only)
  • 9.RTAB-Map Navigation (Depth Camera Only)
04.Robotic Arm and 3D Space Gripping Course
  • 0.Robotic Arm Basic Usage
  • 1.Robotic Arm Kinematics
  • 2.Robotic Arm Chassis Coordination Control
  • 3.AprilTag ID Sorting
  • 4.AprilTag Height Anomaly Sorting
  • 5.AprilTag Tracking and Grasping
  • 6.Color Block Sorting
  • 7.Color Block Height Anomaly Sorting
  • 8.Color Block Tracking and Grasping
  • 9.Wood Block Shape Sorting
  • 10.KCF Tracking and Grasping Objects
  • 11.Mediapipe Gesture ID Sorting AprilTag
  • 12.Mediapipe Gesture Height Sorting AprilTag
  • 13.Desktop Tracking and Grasping AprilTag
  • 14.3D Spatial Tracking AprilTag
  • 15.Line Following Obstacle Clearing
  • 16.Transformer Model Tracking Algorithm
05.Road Network Planning and Navigation
  • 1.Introduction To Road Network Planning
  • 2.Road Network Annotation
  • 3.Planning And Navigation Between Waypoints
  • 4.Road Network Navigation In Any Pose
  • 5.Path Re-planning
06.OpenClaw Basic Course
  • 1.Introduction to OpenClaw
  • 2.OpenClaw Core Concepts
  • 3.OpenClaw API-KEY Configuration
  • 4.OpenClaw Switch Models
  • 5.OpenClaw System Prompt Words
  • 6.OpenClaw Common CLI Commands
07.OpenClaw Interaction Method
  • 1.OpenClaw Webchat Interaction
  • 2.OpenClaw Tui Interaction
  • 3.OpenClaw Voice Dialogue Interaction
  • 4.OpenClaw WhatsApp Interaction
08.OpenClaw Development
  • 1.OpenClaw Connecting to Robot MCP Service
  • 2.Robot CLI Command Tool
  • 3.robot-control plugin tool
  • 4.reply-bridge plugin tool
  • 5.OpenClaw Multimodal Vision
  • 6.OpenClaw Chassis Control
  • 7.OpenClaw Robotic Arm Control
  • 8.OpenClaw Skills Development
  • 9.OpenClaw Scheduled Tasks
  • 10.OpenClaw Multi-Agent Intelligent Agent
  • 11.OpenClaw Active Interaction
  • 12.OpenClaw Vector Memory
09.OpenClaw Embodied Intelligent Application
  • 1.OpenClaw Target Tracking
  • 2.OpenClaw Arm Tracking And Grasping
  • 3.OpenClaw Arm Fixed-point Placement
  • 4.OpenClaw Waste Sorting
  • 5.OpenClaw SLAM Mapping And Navigation
  • 6.OpenClaw Navigation Transport
  • 7.OpenClaw AprilTag Grasping
  • 8.OpenClaw Color Line Patrol
  • 9.OpenClaw Visual Distance Measurement
10.OpenClaw Scenario Sandbox
  • 1.Map Description and Prop Placement
  • 2.Build Sand Table Map
  • 3.Visual Relocation Markers
  • 4.Map Mapping Markers
  • 5.OpenClaw Scenario Sandbox Comprehensive Case
11.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
12.AI Model Development
  • 1.Register a Model Service Provider Aaccount
  • 2.Configuring 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
  • 9.Custom Wake-up Response
13.AI Model - Text Version
  • 1.Semantic Understand and Command Follow
  • 2.Multimodal Visual Understand
  • 3.Multimodal Visual Understand + Robotic Arm Gripping
  • 4.Multimodal Visual Understand+SLAM Navigation
  • 5.Robotic Arm Gripping+Multimodal Visual Understand+SLAM Navigation
  • 6.Intention Estimation
14.AI Model - Voice Version
  • 1.Semantic Understand and Command Follow
  • 2.Multimodal Visual Understand
  • 3. Multimodal Large Model+Robotic Arm Gripping
  • 4.Multimodal Visual Understand+SLAM Navigation
  • 5.Robotic Arm Gripping+Multimodal Visual Understand+SLAM Navigation
  • 6.Intention Estimation
15.Mediapipe Visual Course
  • 1.Hand Detection
  • 2.Posture Detection
  • 3.Overall Detection
  • 4.Facial Landmark Detection
  • 5.Face Detection
  • 6.Face Special Effects
  • 7.3D Object Recognition
  • 8.Brush
  • 9.Finger Control
  • 10.Palm Target Positioning
  • 11.Fingertip Trajectory Recognition
  • 12.Fingertip Gesture Control Cobotic Arm
  • 13.Gesture Grabbing and Releasing Objects
  • 14.Finger Control Robotic Arm
  • 15.Medipipe Gesture Control Robotic arm Cction Group
16.MoveIt2 Simulation Course
  • 1.MovelT2 Configuration
  • 2.MovelT2 Simulation-Reality Linkage
  • 3.Random Movement
  • 4.Forward Kinematics Design
  • 5.Inverse Kinematics Design
  • 6.Cartesian Path
  • 7.Scene Design
  • 8.Trajectory Planning
  • 9.Collision Detection
  • 10.3D Perception Obstacle‑Avoidance
17.Multi-vehicle Course
  • 1.Multi-vehicle Control
  • 2.Multi-vehicle Navigation
  • 3.Multi-vehicle Formation
18.YOLO26 Development
  • 1.CLI Use
  • 2.Object Detection
  • 3.Instance Segmentation
  • 4.Pose Estimation
  • 5.Image Classification
  • 6.Oriented Object Detection
  • 7.YOLOv26 + DeepSORT Tracking
  • 8.Monocular Depth Estimation
19.Control Board STM32 Driver Course
  • 0.Notes (Must Read)
  • 1.About Expansion Board
  • 2.STM32 Development Environment
  • 3.Button Control
  • 4.FreeRTOS Application
  • 5.Serial Communication
  • 6.SBUS Model Aircraft Remote Control
  • 7.CAN Bus Communication
  • 8.RGB Colorful Light Bar
  • 9.Timer Interrupt to Control PWM Servo
  • 10.Control Serial Port Servos
  • 11.Nine-axis Attitude Sensor to Obtain Data
  • 12.Control Motor
  • 13.Timer Captures the Encoder Data
  • 14.1 Kinematic Analysis of Mecanum Wheel
  • 14.2 Kinematic Analysis of Ackerman
  • 14.3 Kinematic Analysis of 4WD
  • 15.PID Control Robot Movement
20.Docker Course
  • 1.Docker Introduction and Installation
  • 2.Docker Basic Commands
  • 3.Docker Submission and Multi-Terminal Access
  • 4. Docker Startup Script
  • 5.Docker-Vscode Environment Construction
21.Image Processing Basics Course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Image cutting
  • 8. Image translation
  • 9. Image Mirroring
  • 10. Affine Transformation
  • 11. Image Rotation
  • 12. Perspective Transformation
  • 13. Grayscale processing
  • 14. Image Binarization
  • 15. Edge Detection
  • 16. Line drawing
  • 17. Rectangle and circle drawing
  • 18. Drawing text and pictures
22.Linux System Course
  • 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
23.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
24.Main Control Course
Jetson Orin Nano_NX
  • 1.Jetson Orin board introduction
  • 2.Restore the factory image system
  • 3.Backup SSD system
  • 4.SSD expansion
  • 5.Network configuration
  • 6.SSH remote login
  • 7.VNC remote control
  • 8.Remote file transfer
  • 9.Jtop tool
  • 10.Exchange space expansion
Raspberry Pi
  • 1. Introduction to Raspberry PI 5
  • 2. Raspberry PI system installation and backup
  • 3. Powering the Raspberry PI 5
  • 4. Startup of Raspberry PI 5
  • 5. Update and upgrade operating system
  • 6. Introduction to raspi-config tool
  • 7. config.txt file description
  • 8. Network Configuration
  • 9. remote access
  • 10. Transfer files remotely
  • 11. Set display resolution and rotation
  • 12. Set screen to sleep
  • 13. Play audio and video
  • 14. Using USB camera
  • 15. Using MIPI camera
  • 16. Get real-time temperature of Raspberry Pi
RDKX5
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Network configuration
  • 6.Remote login
  • 7.Update system
  • 8.srpi-config user guide
  • 9.config. txt configuration file
  • 10.Self-startup setting
  • 11.RDK exclusive command usage
  • 12.Linux command usage
  • 13.GPIO readwrite operation
  • 14.Image classification algorithm
  • 15.Use USB camera
  • 16.Use MIPI camera
  • 17.Binocular camera depth algorithm
  • 18. Controlling RGB Cooling Fans
Download
  • SystemFile
  • Code
  • 3D_Model_File
  • Software_Tools
  • Hardware_Info
  • Introduction_Manual
  • Script_File
  • Dify AI Agent
Download ZIP

Welcome to ROSMASTER A1 PRO repository

13.Timer Captures the Encoder Data

13. The timer captures the encoder data

13. The timer captures the encoder data 13.1. Experimental purpose 13.2. Configuration pin information 13.3. Analysis of the experimental flow chart 13.4. core code explanation 13.5. Hardware connection 13.6. Experimental effect

13.1. Experimental purpose

Use the timer encoder mode function of STM32 to capture the encoder data.

13.2. Configuration pin information

  1. Import the ioc file from the Motor project, name it Encoder, and then the related driver of serial port 1.

According to the schematic diagram, the two encoders of the four motors are respectively connected to channel 1 and channel 2 of timer 2 3 4 5. The motor M1 corresponds to the timer TIM2, M2 corresponds to TIM4, M3 corresponds to TIM5, and M4 corresponds to TIM3.

image-20220311152029633

  1. Taking the timer TIM2 as an example, the setting methods for TIM3, TIM4, and TIM5 are the same. Select Combined Channels mode as Encoder Mode encoder mode.

image-20220311154406375

  1. In the settings, change the Encoder Mode to Encoder Mode TI1 and TI2, set it to quadruple frequency, and other parameters are shown in the figure below.

image-20220311154534666

The final chip configuration pins are shown in the figure below:

image-20220311154742986

13.3. Analysis of the experimental flow chart

image-20220519105917493

13.4. core code explanation

  1. Create new bsp_encoder.h and bsp_encoder.c, and add the following content to bsp_encoder.h:

image-20220311154905298

  1. Create the following content in the bsp_encoder.c file:

Encoder timer initialization.

image-20220311155015828

  1. Read the data from the encoder.

image-20220311155118686

  1. Update the count value of the encoder. It needs to be called every 10 milliseconds.

image-20220311155203831

  1. Return the count of encoders that have been counted up to now, Encoder_Get_Count_Now returns one way, and Encoder_Get_ALL returns four ways.

image-20220311155324653

  1. Add the content of encoder initialization in the Bsp_Init() function.

image-20220311160927305

  1. The new encoder array is used to save the data of the encoder, and show_encoder is used to print the count of the encoder.

image-20220311161423196

  1. On the basis of the original control motor, the function of printing encoder data every 100 milliseconds is added.

image-20220311161403382

13.5. Hardware connection

The motor connecting line needs to be connected to the corresponding motor as shown in the figure below, otherwise it may cause the problem that the program does not match the phenomenon. Motor 1 corresponds to the motor in the upper left corner of the body, Motor 2 corresponds to the motor in the lower left corner, Motor 3 corresponds to the motor in the upper right corner, and Motor 4 corresponds to the motor in the lower right corner.

image-20220311143208773

Since the power of the motor is relatively large, the expansion board should not be powered by USB 5V directly, but must be powered by DC 12V.

Then connect the micro-USB cable to the expansion board and computer.

13.6. Experimental effect

Since the motor will turn when started, please stand up the trolley before the experiment, and the motor wheels are suspended in the air to avoid rampage.

After the program is programmed, the LED light flashes every 200 milliseconds. Open the serial port assistant, you can see the data of the encoder. Press the first forward, the second free stop, the third backward, and the fourth brake to stop.

image-20220519110046762

Control Motor
Kinematic Analysis of Mecanum Wheel

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