Yahboom JetCobot 7DOF Collaborative Robotic Arm and K230 Al Visual Recognition Camera Module Based on MicroPython
*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.
JetCobot is a 7-axis visual collaborative robotic arm. It uses the NVIDIA series development board as the main control board. It adopts a configuration similar to the UR robot, flexible movement, and maximum effective arm span of 270MM. Through the ROS robot operating system and inverse kinematics algorithm, the robotic arm coordinate control, motion planning, gripping and sorting functions are realized. It equipped it with a 0.3MP USB camera, combined with OpenCV images, machine vision, deep learning and other algorithms, can complete color interaction, face tracking, label recognition, mode…
Key Features
- JetCobot or Jetson NANO 4GB/Orin NANO SUPER/Orin NX SUPER. Adopts a 7-axis design, has a configuration similar to the UR robot, and with the inverse kinematics algorithm, it ensures flexible and precise motion control. The maximum effective arm span is 270MM, the joint rotation range is -153°~153°, and it can handle a variety of complex operation tasks.
- Jetson Robotic Arm with a 0.3MP USB camera with a 110° FOV. Combining OpenCV image processing, machine vision and deep learning algorithms, JetCobot can realize functions such as color interaction, face tracking, tag recognition, model training and gesture interaction.
- Yahboom K230 AI vision learning module is designed for maker education and scientific research experiments, with built-in face recognition, target tracking and other 10+ classic vision algorithms. Simply connect to the Raspberry Pi or MCU via the serial port to quickly build AI projects such as smart cars and security monitoring.
- It can be connected with mainstream development platforms such as Raspberry Pi and STM32 through UART/SPI interface, supports real-time operation of deep learning models such as YOLO, and can accurately complete complex visual tasks such as face detection, object recognition, and behavior analysis.
- Direct delivery from stock + professional after-sales + complete tutorials, we not only provide products, but also provide a complete learning and development experience! 24-hour quick response to solve all your worries!
Full Specifications
| ASIN | B0FF2468LM |
|---|---|
| Brand | Yahboom |
| Batteries | 2 A batteries required. (included) |
| Manufacturer | Yahboom |
| Operating System | Linux |
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*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.