xArm ESP32 Bus Servo Robotic Arm Powered by Open-source ESP32 Python Programmable Robot

Caractéristiques (extraites automatiquement)

Description

Product Description The xArm-ESP32 is an open-source desktop robot arm featuring an ESP32 controller as its main control system. Programmed with MicroPython, it boasts Wi-Fi and Bluetooth wireless communication capabilities. Beyond traditional desktop robot arm controls, it offers an expansion interface compatible with sensor expansion packages and our Python editor software, facilitating the development of diverse creative projects efficiently. ESP32 Open Source Controller The open-source ESP32 controller employs a modular design and integrates an ESP32 core board. It has multiple built-in interfaces and supports MicroPython programming. High Torque Intelligent Bus Servo The LX-225 intelligent bus servo has a torque of 25KG, and its powerful power enables the robotic arm to grab heavier objects. Inverse Kinematics Algorithm We have provided a comprehensive analysis of the xArm ESP32 inverse kinematics, enabling you to thoroughly understand the operational logic of the robot arm. Support Secondary Development The xArm ESP32 robot arm supports secondary development and comes with a sensor expansion package. It can have a diverse range of creative applications and games. Intelligent Creative Functions Sonic Distance Ranging and Gripping Color Recognition and Gripping Infrared-Based Gripping Touch-Based Gripping Gripping Controlled by Joystick Motion Control via Knob App Action Editing The xArm ESP32 robot arm includes an app with a user-friendly interface. Users can easily add actions by directly adjusting servo rotation angles within the app or manually dragging the robot arm to achieve the desired positions. Additionally, they can modify the duration of action sequences, save new actions, and manage existing action groups with ease. Action Editing with the Synchronization Controller The synchronization controller incorporates a 'learning' button and a 'one-click run' button. Pressing the 'learning' button allows you to initiate action learning using the controller.