Tutorials Link
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, model training, gesture interaction and other functions. In addition to supporting MoveIt simulation control, JetCobot also supports handle, PC web control.
High-precision control and flexible movement
JetCobot 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.
Camera and robotic arm 2 in 1
Equipped with a 0.3MP USB camera with a 110° field of view. 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.
Based on NVIDIA series development boards
With NVIDIA series development boards as the main control, JetCobot has powerful computing power and AI processing capabilities, which can efficiently process complex vision and control algorithms to ensure real-time response and efficient execution.
Support multiple control methods
Based on the ROS robot operating system, JetCobot can realize MoveIt simulation control, and also supports handle control and PC web control to meet the needs of different users.
























JetCobot 7-axis visual collaborative robotic arm for Jetson NANO 4GB/Orin NANO SUPER/Orin NX SUPER
Vendor: Yahboom
SKU: 3000200636
Need help with choosing the right product?
Click here to reach out to one of our experts.
Tutorials Link
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, model training, gesture interaction and other functions. In addition to supporting MoveIt simulation control, JetCobot also supports handle, PC web control.
High-precision control and flexible movement
JetCobot 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.
Camera and robotic arm 2 in 1
Equipped with a 0.3MP USB camera with a 110° field of view. 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.
Based on NVIDIA series development boards
With NVIDIA series development boards as the main control, JetCobot has powerful computing power and AI processing capabilities, which can efficiently process complex vision and control algorithms to ensure real-time response and efficient execution.
Support multiple control methods
Based on the ROS robot operating system, JetCobot can realize MoveIt simulation control, and also supports handle control and PC web control to meet the needs of different users.
























Questions & Answers
Have a Question?
-
how to start my robot
hi,please email to support@yahboom.com and our support will help you with the tutorials.
-
Estoy interesado en adquirir el brazo robotico con Jetson NANO 4GB quiero saber cuanto saldria el costo de envio a mi Pais Ecuador lo hace directo ? me ayuda con esa informacion por favor.
Hola,
Gracias por su consulta.
Ofrecemos envío gratuito del brazo robótico Jetcobot a Ecuador (excepto zonas remotas), con un tiempo de tránsito estimado de 7 a 9 días laborables a través de DHL.
Su paquete se enviará en un plazo de 1 a 2 días laborables desde la realización del pedido.
Si le resulta conveniente, responda a market@yahboom.com indicando su código postal y ciudad para que podamos verificar si su dirección está clasificada como remota.
Esperamos tener noticias suyas.
Atentamente,
Yahboom Team
-
I am a Deputy Technical Manager at the University of West of England Bristol Robotics Lab and we are preparing to purchase 10+ YahBoom Robot Arms. There are no width dimensions for the Robotic Arm Bottom Plate or the views in your dimension drawings. I am looking at how they will be setup in one of our teaching labs using ROS2. Please can you provide me access to the 3D file so that I can plan mounting and positions. Many Thanks
Hello, the images show the corresponding parameters for the robotic arm and baseplate, which can help you plan your lab. The 3D model can be found at this link:
https://drive.google.com/drive/folders/1DPJp4ByiZvGxHmBm3SymkyipQxkkt7h3?usp=drive_link

-
What is the payload?
Max Payload: 150g



