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Artículo: AMZ-B0CT7HXYCZ
Yahboom
Yahboom Robot Arm ROS Virtual Machine as Controller Programmable AI Visual Recognition 6DOF Mechanical Arm Research Robot DOFBOT-SE (VM Software Not Support MAC)
Detalles del producto
Disponibilidad
En stock
En stock
Peso con empaque
2.46 kg
2.46 kg
Devolución
Sí
Sí
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- DOFBOT-SE is a 6DOF robotic arm developed by Yahboom based on a virtual machine system. It does not require a embedded development board (Jetson NANO/Raspberry Pi), generates control decisions through a PC-side virtual machine, and is driven by an STM32 controller to implement various functions. We use the ROS robot control system to simplify the complex motion control of the 6DOF serial bus servo, enabling the forward and reverse solutions, motion planning, MoveIt simulation, collision detection and other functions to be realized. It comes with a 3MP camera, combined with machine vision algorithms, which not only enables color recognition tracking and grabbing, but also has many functions such as model training, garbage sorting, and gesture recognition. Whether you are a beginner or an experienced developer, DOFBOT-SE is a cost-effective robotics learning kit for you.
$844,52
60% OFF
$337,81
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$844,52
60% OFF
$337,81
3 meses de gracia en diferidos y hasta 6 meses sin intereses con Pacificard
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Desktop robot arm controlled by a virtual machine: Dofbot-SE robot arm uses a virtual machine as the main controller and does not rely on the expensive RaspberryPi jetson nano. It also implements complex grasping tasks such as custom model training, garbage classification, and gesture recognition. take action (VM Software Not Support MAC) Yahboom only provide Windows version. 6DOF intelligent serial bus servo robot arm: The robot body of the robot arm contains 6 bus servos that support readback of position and status information. The servo has built-in metal gears, high-precision potentiometers, anti-reverse connection interfaces, and can be cascaded. control. As a key accessory of the robotic arm, the powerful servo system can ensure accurate movement of the robotic arm and increase its service life, allowing it to easily grab objects weighing 200g-500g. Diversity of control methods: The robot kit can be controlled through the standard wireless handle, mobile APP and computer mouse in the kit. Multiple operation methods can be used for various projects and learning, bringing more creative possibilities and fun. Creative function development: the camera and the robotic arm are combined into one. The camera is responsible for AI recognition work, and the robotic arm is responsible for command output operations. It realizes inverse kinematics algorithm by controlling each joint, color recognition, tracking and grabbing, gestures and faces. Recognition tracking, MediaPipe machine learning, action group copying, chess playing, garbage classification and a series of complex actions High-quality structure and high-quality after-sales service team: The robotic arm uses high-quality aluminum alloy and industrial-grade bearings, which can be used and learned endlessly. Yahboom develops Python source code for Dofbot SE, with 151 courses, from basic to advanced learning, and technical support to protect you. Complete package, no need to prepare expensive development board master
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