Yahboom Robot Arm ROS Virtual Machine Programmable AI Visual Recognition 6DOF Mechanical Arm DOFBOT-SE Research Robot

Jetson Series Development Kit Raspberry Pi5 Accessories Rosmaster Series Robot Kit Ros Robot Aluminum chassis Raspberry Pi5-4GB/8GB Robot UNO Programming 360° robot Six-legged programmable robot 3DOF AI Crawler Robot Transbot 3dof Robot Arm Kit 6dof OpenCV Robot Jetson Nano 4GB SUB Kit Anti-collision Ackerman robot Rosmaster X3 for Ros2 Python Dogzilla S2

A provider of artificial intelligence and robot education solutions, and a high-tech enterprise integrating independent research and development, mass production and global sales.

With the vision and mission of lowering the threshold of creation and popularizing robot education, we continue to develop and innovate robot technology and teaching applications.

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 Raspberry Pi jetson nano. It also implements complex grasping tasks such as custom model training, garbage classification, and gesture recognition.

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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