- Powered by Raspberry Pi and based on ROS
- Equipped with HD wide-angle camera
- Support FPV transmitted image
- Powerful vehicle chassis for omni-directional movement
- Open Source and abundant tutorial materials
Tutorial Link for ArmPi Pro: https://drive.google.com/drive/folders/1UNf2xl2Lc8w-Axk9q2BSJ8_6pFhUJMJ0?usp=sharing
Based on ROS, ArmPi Pro is a smart vision transporting robot powered by Raspberry Pi and programmed in Python. Developed upon ArmPi FPV vision robotic arm, it adds an omni-directional mecanum wheels car, which can realize moving and picking, target tracking, intelligent transporting and other cool functions.
Removable mecanum wheels car makes it flexible to switch between two models, desktop robotic arm and mobile robotic arm. With ample tutorials and open source Python codes, ArmPi Pro is a perfect platform where you can learn ROS, robot technology and robot vision, curtail the project development period and fully experience AI!
1. Omni-directional Movement, First Person View
1) 360° Omni-directional Movement
With 4 high-performance encoder geared motors and 4 omni-directional mecanum wheels, ArmPi Pro can realize 360° movement. Different movement modes (move forward, horizontally, diagonally and rotate ) and excellent performance make it bold to challenge various complicated routes.
2)Object Transport, First Person View
Loaded with an ArmPi FPV vision robotic arm, ArmPi Pro can pick and transport the target with ease. Combined with HD camera ending in robot arm, it can provide first person view.
2. AI Vision Recognition, Target Tracking
ArmPi Pro takes OpenCV as image processing library and utilizes FPV camera to recognize and locate the target block so as to realize color sorting, target tracking, line following, and other AI games.
1) Color Tracking
Through vision positioning of the target object and inverse kinematics algorithm of the robotic arm, the target object can be better targeted and tracked.
2) Color Sorting
With abundant tutorials and open source Python codes, robotic arm can carry out color recognition, picking and sorting.
3) Line Following
Line following can be implemented by ROI area extracting with OpenCV, noise eliminating, image binaryzation, direction calibration with PID algorithm, etc.
3. APP Control, FPV Transmitted Image
Android and iOS APP are available for robot remote control. Via the APP, you can control the robot in real time and switch various AI games just by one tap.
1) First Person View, HD Transmitted Image
ArmPi Pro supports WLAN and WIFI direct connection modes. After WiFi connection, the first person view will be transmitted to APP interface, which brings you more exciting and real robot control experience!
2) Real-time Remote Control, Picking and Transporting
Use APP to control ArmPi Pro to move, pick and transport at your fingertips.
3) Quickly Experience AI Games
Switch game modes easily and quickly to experience various AI games.
4. Hardware Features
1) Hard Aluminium Alloy
It protects the core control board from shattering and shocking and can bear bigger load!
2) Encoder Motor and Encoder Motor Driver
Encoder motor with large reduction rate can offer accurate calculation of wheel speed and travel distance. 4-channel encoder motor driver contributes to easier motor control.
3) HD 120° Wide-angle Camera
Loaded with 120° wide-angle camera, ArmPi Pro can look around 180°, and up and down 180°. Combined with mecanum chassis car, its visual range is up to 360°.
4) High-performance Serial Bus Servo
It can provide voltage and position feedback, and stronger force. Its built-in anti-blocking algorithm results in longer service life.
5) 12000mAh Large-capacity Lipo Battery
The built-in 12000mAh large-capacity Lipo battery greatly invigorates the robot and prolongs its working life.
1 * ArmPi FPV robotic arm (assembled)
1 * ArmPi Pro chassis bracket set
1 * 4-channel encoder motor driver
1 * 7.4V 12000mAh 2C Lipo battery
4 * 8V encoder motor
4 * Mecanum wheel
1 * Map
1 * 8.4V 2A charger
6 * Block (3 * 3cm)
3 * Ball
3 * Tag (3 * 3cm)
1 * Card reader
1 * Accessory Bag
Material: metal bracket
Camera resolution: 480P
Robotic arm DOF: 5 DOF+gripper
Power: 7.4V 12000mAh 2C Lipo battery
Continuous working time: about 90 min
Hardware: Raspberry Pi 4B(4GB) + Raspberry Pi expansion board
Software: VNC+iOS/Android APP
Servo: Single shaft/LX-15D/LX-225 serial servo
Control Method: PC/App control
Package Size: 36*32*12cm+51*30*16*cm
Package Weight: About 4.3kg
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