Artificial Intelligence Robotic Arm with CameraRobotic arm comes with camera to achieve FPV video transmission. The robotic arm can recognize colors, specific gestures and faces, respond to the recognized gestures and track the recognized faces, track the corresponding colors, and grab the corresponding designated color objects. These recognition, tracking and grabbing actions fully reflect the AI bionic characteristics of robot arm. DOFBOT starts to take you into the field of AI robotics.
DOFBOT Motion Control Robotic arm not only has its own fixed action group, but also can perform custom actions. In terms of control method, we can use the Master Machine to control the Slave Machine to achieve remote operation of real-time transmission of action gestures. What\u2019s more,the ros system can be used to build obstacle models, so that the robotic arm can avoid opening the obstacles to operate. Flexible arms can complete complex tasks for you
Freely enjoy 5 control methods The programmable robot arm kit can use the multi-function APP (Android/iOS) to operate most of the functions; the kit is equipped with a USB gamepad remote control to achieve the best control feeling; it can also be used PC upper computer view image transmission; 3D simulation model construction of ROS system; Jupyter Lab webpage online programming. 5 kinds of interconnected control methods can enjoy the fun of robotic arm
Top ConfigurationDofbot uses 15kg smart serial bus metal gear digital servo, which is conducive to separately controlling and reading the angle of each steering gear; equipped with a fully functional expansion board, reserved for continued expansion; the robotic arm is made of fully anodized aluminum alloy with a beautiful and strong structure
Easy to Get Start & Online Technical SupportThe assembled robotic arm can be controlled directly by simply installation and quick connection to the network (Based on the factory burned image). However, this robotic arm is for DIY makers with basic Python programming knowledge. Yahboom provide a large amount of course materials and online technical support is available. If you encounter difficulties, pls contact Yahboom. ***Raspberry Pi 4B (4G or 8G) is recommended