Description
DOFBOT 6DOF Robot Arm Kit Mechanical Arm AI Visual Recognition without Motherboard for Raspberry Pi
Description:
DOFBOT Al vision robotic arm is controlled by a board for Raspberry Pi 4B (optional), with Open Source CV as the image processing library, the mainstream development tool for Jupyter Lab, and Python 3 as the main programming language.
Its camera and robotic arm body are integrated. Its visual recognition makes the robotic arm appear more agile. It can not only realize color recognition, tracking and catching, but also identify and interact according to human characteristics, train garbage sorting models and sort garbage.
With the ROS robot control system, it simplifies the complex motion control of 6 degrees of freedom serial bus servos. A quick guide and hands-on tutorial are provided to help you easily navigate the DOFBOT vision robot arm.
Specifications:
- Microprocessor: for Broadcom BCM2711 64-bit 1.5GHz quad-core + VideoCore VI at 500MHz
- AI hash-rate: 200GFLOPs
- Operating system: for Ubuntu mate 20.04 LTS + ROS_Noetic
- Programming language: Python
- Servo scheme: 15kg*5+6kg*1 serial bus intelligent servo
- Input: wide-angle camera, emergency stop button, network distribution button, reset button, 2*IIC interface and 5V fan interface
- Output: RGB indicator, OLED display, buzzer, 6-way bus servo interface and 6-way PWM servo interface
- Power scheme: 12V 5A power adapter
- Power interface: T plug interface
- Remote control mode: mobile APP, PC computer and controller for PS2 (PC side)
- Communication method: WiFi network
- Safety protection: over-current protection and anti-reverse connection
- Robotic arm material: anodized aluminum
- Assembly dimensions: 272 x 135 x 473 mm / 10.7 x 5.3 x 18.6 inch
- Weight after assembly: 1256g/2.8lb
- Robotic Arm Degrees of Freedom (DOF): 5 degrees of freedom + gripper
- Effective load capacity: 200g/0.4lb (straightened clampable weight)
- Load: 500g/1.1lb (clamping and handling weight)
- Reach: 350mm/13.8inch
- Effective gripping range: area with a radius of ≤ 30cm/11.8 inch, with the center axis as a semicircle
- Repeatable positioning accuracy: ±0.5mm/±0.02inch
- Power supply voltage: 100~240V 50/60Hz
- Camera: 300,000 pixels 110-degree wide-angle camera
- Resolution:480P (640*480)
- Frame rate: 30fps
- Focus mode: Adjust focus manually
Package Included:
- 1 x DOFBOT robot arm (assembled)
- 1 x Map
- 1 x USB controller
- 1 x Adapter cable and power adapter
- 1 x Expansion board
- 1 x 40PIN cable
- 1 x Micro USB data cable
- 6 x Black cable ties
- 4 x Blocks
- 6 x Suction cups
- 1 x Screwdriver
- 1 x 32G TF card and card reader
- 1 x OLED screen
- 1 x Camera module
- 1 x Camera connecting cable
- 1 x Cooling fan
- 1 x Fixing bracket
- 6 x Bags of accessories (screws, nuts and copper pillars)
- 1 x User manual
Note:
- Battery is not included.
- The board for Raspberry Pi 4B is optional.
Description:
DOFBOT Al vision robotic arm is controlled by a board for Raspberry Pi 4B (optional), with Open Source CV as the image processing library, the mainstream development tool for Jupyter Lab, and Python 3 as the main programming language.
Its camera and robotic arm body are integrated. Its visual recognition makes the robotic arm appear more agile. It can not only realize color recognition, tracking and catching, but also identify and interact according to human characteristics, train garbage sorting models and sort garbage.
With the ROS robot control system, it simplifies the complex motion control of 6 degrees of freedom serial bus servos. A quick guide and hands-on tutorial are provided to help you easily navigate the DOFBOT vision robot arm.
Specifications:
- Microprocessor: for Broadcom BCM2711 64-bit 1.5GHz quad-core + VideoCore VI at 500MHz
- AI hash-rate: 200GFLOPs
- Operating system: for Ubuntu mate 20.04 LTS + ROS_Noetic
- Programming language: Python
- Servo scheme: 15kg*5+6kg*1 serial bus intelligent servo
- Input: wide-angle camera, emergency stop button, network distribution button, reset button, 2*IIC interface and 5V fan interface
- Output: RGB indicator, OLED display, buzzer, 6-way bus servo interface and 6-way PWM servo interface
- Power scheme: 12V 5A power adapter
- Power interface: T plug interface
- Remote control mode: mobile APP, PC computer and controller for PS2 (PC side)
- Communication method: WiFi network
- Safety protection: over-current protection and anti-reverse connection
- Robotic arm material: anodized aluminum
- Assembly dimensions: 272 x 135 x 473 mm / 10.7 x 5.3 x 18.6 inch
- Weight after assembly: 1256g/2.8lb
- Robotic Arm Degrees of Freedom (DOF): 5 degrees of freedom + gripper
- Effective load capacity: 200g/0.4lb (straightened clampable weight)
- Load: 500g/1.1lb (clamping and handling weight)
- Reach: 350mm/13.8inch
- Effective gripping range: area with a radius of ≤ 30cm/11.8 inch, with the center axis as a semicircle
- Repeatable positioning accuracy: ±0.5mm/±0.02inch
- Power supply voltage: 100~240V 50/60Hz
- Camera: 300,000 pixels 110-degree wide-angle camera
- Resolution:480P (640*480)
- Frame rate: 30fps
- Focus mode: Adjust focus manually
Package Included:
- 1 x DOFBOT robot arm (assembled)
- 1 x Map
- 1 x USB controller
- 1 x Adapter cable and power adapter
- 1 x Expansion board
- 1 x 40PIN cable
- 1 x Micro USB data cable
- 6 x Black cable ties
- 4 x Blocks
- 6 x Suction cups
- 1 x Screwdriver
- 1 x 32G TF card and card reader
- 1 x OLED screen
- 1 x Camera module
- 1 x Camera connecting cable
- 1 x Cooling fan
- 1 x Fixing bracket
- 6 x Bags of accessories (screws, nuts and copper pillars)
- 1 x User manual
Note:
- Battery is not included.
- The board for Raspberry Pi 4B is optional.
Payment Terms
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2. For remote regions of DHL/FedEx..., extra shipping costs might be charged. Usually it costs about 30USD-50USD. We will contact you if shipping company informed us your address belongs to remote area. Thanks for your understanding.
Return Terms
If you receive the item that not satisfied or defective, please do not open case and kindly notify us within 30 days. We will guide you the returning process for replacement or refund.
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