DOFBOT AI Vision Jetson NANO 4GB robotic arm
Yahboom DOFBOT AI Vision Yahboom DOFBOT is a good partner for AI beginners, programming enthusiasts and Jetson Nano fans. It is designed based on the…
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Robotic arm DOFBOT SE AI Vision Special Edition ROS Python
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Illustrative model 3D model generated from product photos, at approximate scale. Dimensions and details may differ from the product. Licenses and attributions
Product details
Package dimensions45 x 35 x 25 cm
CategoriesEducational kits
Description
DOFBOT SE AI Vision
DOFBOT SE is a robotic arm with 6 degrees of freedom (6DOF), developed on the basis of a virtual machine system. It doesn't require an embedded development board like the Jetson NANO or Raspberry Pi. It can be controlled by a PC and programmed with an STM32 controller for various functions.
Uses the ROS control system to simplify the complex control of 6DOF servo movements. It enables motion planning, MoveIt simulation, collision detection and other useful functions.
The robotic arm is equipped with a 0.3 MP camera (640x480, 110° wide angle). This, along with machine vision algorithms, enables color tracking and recognition. It also includes features like pattern training, garbage sorting, and gesture recognition.
Whether you are a beginner or more experienced, DOFBOT SE is a cost-effective robot learning kit for you.
Uses the ROS control system to simplify the complex control of 6DOF servo movements. It enables motion planning, MoveIt simulation, collision detection and other useful functions.
The robotic arm is equipped with a 0.3 MP camera (640x480, 110° wide angle). This, along with machine vision algorithms, enables color tracking and recognition. It also includes features like pattern training, garbage sorting, and gesture recognition.
Whether you are a beginner or more experienced, DOFBOT SE is a cost-effective robot learning kit for you.
Features
Development of the virtual machine system
Based on the virtual machine system, control decisions are generated through the virtual machine like a PC, without the need for built-in development boards, simplifying the learning and use process. (Mac not supported)
ROS robot control system
The integrated ROS system simplifies complex 6 DOF servo motion control and supports functions such as direct solution, inverse solution and motion planning.
AI vision functions
It offers MoveIt simulation, collision detection, color tracking and recognition, item retrieval, gesture recognition and many other features.
Various remote control methods
The robot can be controlled based on a multifunctional mobile application, wireless joystick or PC software.
Professional hardware configuration
It includes a 0.3 MP camera module, a multi-functional extension board, 5*15 kg servos + 1*6 kg servos, and the whole robotic arm is made of white anodized aluminum, which is aesthetic and durable.
DOFBOT SE robot documentation: https://www.yahboom.net/study/DOFBOT_SE
Based on the virtual machine system, control decisions are generated through the virtual machine like a PC, without the need for built-in development boards, simplifying the learning and use process. (Mac not supported)
ROS robot control system
The integrated ROS system simplifies complex 6 DOF servo motion control and supports functions such as direct solution, inverse solution and motion planning.
AI vision functions
It offers MoveIt simulation, collision detection, color tracking and recognition, item retrieval, gesture recognition and many other features.
Various remote control methods
The robot can be controlled based on a multifunctional mobile application, wireless joystick or PC software.
Professional hardware configuration
It includes a 0.3 MP camera module, a multi-functional extension board, 5*15 kg servos + 1*6 kg servos, and the whole robotic arm is made of white anodized aluminum, which is aesthetic and durable.
DOFBOT SE robot documentation: https://www.yahboom.net/study/DOFBOT_SE
Video: Yahboom
TECHNICAL SPECIFICATIONS DOFBOT SE AI Vision
| Technical Specifications | Details |
|---|---|
| Microprocessor | PC virtual machine (prepare yourself) |
| Operating System | Ubuntu mate 20.04 LTS + ROS Noetic |
| Programming language | Python |
| Servos | 5 x 15 kg + 1 x 6 kg smart servos |
| Input | Wide-angle camera, emergency stop button, network button, reset button |
| Output | RGB indicator light, OLED screen, buzzer, 6-channel servo interface, 6-channel PWM servo interface |
| Power Solution | Power adapter 12V5A |
| Power interface | T-plug interface |
| Remote control method | Mobile App, Host PC, 2.4G Wireless Joystick |
| Method of Communication | WiFi network |
| The robotic arm material | Anodized aluminum |
| Size after assembly | 272 135 473 mm |
| Assembled weight | 1256 g |
| Robotic arm degrees of freedom (DOF) | 5DOF + grip |
| Load Capacity | 200 g (weight can be caught when stretched) |
| Payload | 500 g (grip and handling weight) |
| Gripper opening | 350 mm |
| Effective Range | Area with a radius ≤30 cm and the central axis as a semicircle |
| Repeatability | ±0.5 mm |
| Voltage | 100~240V 50/60Hz |
| Camera | 300,000 pixel camera, 110° wide angle camera |
| Resolution | 480p (640*480) |
| Frame rate | 30fps |
| Focus Mode | Focus can be adjusted manually |
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