Grab Your Discount & a Christmas Mystery Gift!
Use code: XMAS2024
Hiwonder ArmPi FPV AI Vision Raspberry Pi 5 ROS Robotic Arm with Python Open Source
- 【ROS Robot Arm Powered by Raspberry Pi】ArmPi FPV is an open-source AI robot arm based on Robot Operating System and powered by Raspberry Pi. Loaded with high-performance intelligent servos and AI camera, and programmable using Python, it is capable of vision recognition and gripping.
- 【AI Vision Recognition and Tracking】A HD wide-angle camera is positioned at the end of ArmPi FPV, providing real-time First-Person View (FPV) transmission with a resolution of 100W pixels. By processing images with OpenCV, it can recognize color, tag and human face, opening up a wide range of AI applications, such as color sorting, target tracking, intelligent stacking and face detection.
- 【Inverse Kinematics Algorithm】ArmPi FPV employs an inverse kinematics algorithm, enabling precise target tracking and gripping within. It also provides detailed analysis on inverse kinematics, DH model, and offers the source code for the inverse kinematics function.
- 【Robot Control Across Platforms】ArmPi FPV provides multiple control methods, like WonderPi app (compatible with iOS and Android system), wireless handle, mouse, PC software and Robot Operating System, allowing you to control the robot at will.
- 【Abundant AI Applications】Guided by intelligent vision, ArmPi FPV excels in executing functions such as stocking in, stocking out, and stock transfer, realizing integration into Industry 4.0 environments.
Powered by Raspberry Pi
ArmPi FPV is powered by Raspberry Pi 4B/5 controller allowing you to embark on motion control, machine vision, and OpenCV projects.
HD 120° Wide Angle Camera
Loaded with 120° wide- angle camera, ArmPi FPV can look around 180° , and up and down 180°.
Smart Serial Bus Servo
ArmPi FPV adopts intelligent serial bus servo which features high accuracy, data feedback functionality and simplified wiring.
Anodized Bracket
ArmPi FPV's body is constructed with anodized metal brackets. The controller is equipped with a sturdy metal shell that offers excellent protection.
| Size: | 277* 177* 428mm |
| Weight: | 1200g |
| Material: | Metal bracket |
| Resolution: | 480P |
| Robotic arm(DOF): | 6DOF(5DOF+gripper) |
| Power: | 7.5V 6A DC adapter |
| Hardware: | Raspberry Pi 4B/5 and Raspberry Pi 4B/5 expansion board |
| Software: | PC software+iOS/ Android APP |
| Grab weight: | More than 500g |
| Control method: | PC software and APP |
| Package size: | 51*30*16cm |
| Package weight: | About 2.3kg |
| Item | Specification |
| Size | 277* 177* 428mm |
| Product weight | 1200g |
| Material | Metal bracket |
| Resolution | 480P |
| Robotic arm(DOF) | 6DOF(5DOF+gripper) |
| Power | 7.5V 6A DC adapter |
| Hardware | Raspberry Pi 4B/5 and Raspberry Pi 4B/5 expansion board |
| Software | PC software+iOS/ Android APP |
| Grab weight | More than 500g |
| Control Method | PC software and APP |
| Package Size | 51*30*16cm |
| Package Weight | About 2.3kg |
Customer Reviews
This is an amazing fun product to do with the family or on your own
This robot arm is well-made and has a lot of technical details in the manual. It covers everything, but just so you know, you'll need programming skills, especially in Python, to do cool things with it. It's not a toy, so be sure the person you're buying it for can code.
I'm trying to make it find and use a joystick like a human steering it. The project isn't finished, but the arm seems like it can do what I want.
Good things: The arm is strong and looks good with its metal parts. It was packed well and easy to put together. The tutorial videos are handy. It runs on Ubuntu Linux, which has lots of online help.
This robot arm is well-made and has a lot of technical details in the manual. It covers everything, but just so you know, you'll need programming skills, especially in Python, to do cool things with it. It's not a toy, so be sure the person you're buying it for can code.
I'm trying to make it find and use a joystick like a human steering it. The project isn't finished, but the arm seems like it can do what I want.
Good things: The arm is strong and looks good with its metal parts. It was packed well and easy to put together. The tutorial videos are handy. It runs on Ubuntu Linux, which has lots of online help.
I bought this robotic arm from Amazon.com. The build quality is excellent. The provided documentation is great to start learning about robotics. It would be good to have some description of how to use the "Board" python library for the expansion board to interface with different ports, especially the second serial bus servo port.
Hiwonder ArmPi FPV AI Vision Raspberry Pi ROS Robotic Arm with Python Open Source
Questions & Answers
Have a Question?
-
It looks like there is a desktop app for this as well. Is there any guidance on how to set it up?
Hello,
You can launch the desktop app by following the instructions in this link: https://drive.google.com/drive/folders/1eLStVtnqDVmoATC-3bF-9P8xvM7BQUPE?usp=sharing
-
I bought this device but i am not able to ssh the ubuntu user due to wrong password. what is the default password for this?
Please try 'hiwonder'; To detailed instructions, please check this file: https://drive.google.com/drive/folders/1uIGWV3cc0yc9JJ1B5xtIsUK3j8-QFNM9?usp=sharing
-
I bought this device where can I find the software to download for raspberry pi
Check this link: https://drive.google.com/drive/folders/11wl0ss4zelJUnhpM2iadch4rDxFnV4dg?usp=drive_link; The related software can be found in the Appendix folder:)
