Skip to main content

XGO Blockly CM4 - 图形化和 AI 编程 Web 服务器 (CM4精简版)

Project description

XGO Blockly 图形化编程服务器(CM4 精简版)

简介

XGO Blockly 是专为陆吾 XGO 机器人系列设计的图形化编程和 AI 编程服务器。本版本为 CM4 精简版,专门适配树莓派 CM4 平台。通过简单的安装和启动,您可以在电脑浏览器中进行图形化编程、AI 编程,控制您的陆吾 XGO 机器人。

支持的机型

  • XGO-Lite:轻量级四足机器狗,680g超轻设计,适合教育入门

  • XGO-Mini:十二自由度AI机器狗,配备机械臂和500万像素摄像头,支持AI视觉和语音识别

  • XGO-Rider:双轮足开源开发平台,基于树莓派,560g桌面级设计,支持AI边缘计算、自稳控制和地形跨越

  • 未来的机型将陆续加入。

安装要求

该 pip 包需要安装在陆吾 XGO 机器人系列搭载树莓派 CM4 的机器上。

安装

pip install xgo-blockly-cm4 -i https://pypi.tuna.tsinghua.edu.cn/simple

升级已有安装:

pip install --upgrade xgo-blockly-cm4 -i https://pypi.tuna.tsinghua.edu.cn/simple

启动服务

安装成功后,运行以下命令启动图形化编程和AI编程服务器:

xgo-blockly

使用方法

服务器启动后,在电脑上打开浏览器,访问树莓派的IP地址和端口号(默认端口号为8000,直接输入IP即可)即可开始图形化编程和AI编程。

功能特性

  • 🎯 图形化编程:拖拽式编程界面,简单易用
  • 🤖 AI编程辅助:智能代码生成和优化建议
  • 🔗 实时控制:直接控制陆吾机器人硬件
  • 🌐 Web界面:跨平台浏览器访问
  • 📱 响应式设计:支持电脑、平板等设备

版本更新记录

v1.0.0.1

  1. 调整 A、B 按键映射
  2. 增加豆包大模型开通管理引导

技术支持

如有问题或需要技术支持,请联系陆吾机器人技术团队。

联系方式: hello@xgorobot.com


XGO Blockly Visual Programming Server (CM4 Lite Edition)

Introduction

XGO Blockly is a visual programming and AI programming server designed specifically for the Luwu XGO robot series. This is the CM4 Lite Edition, specifically adapted for the Raspberry Pi CM4 platform. Through simple installation and startup, you can perform visual programming and AI programming in your computer browser to control your Luwu XGO robot.

Supported Models

  • XGO-Lite: Lightweight quadruped robot dog, ultra-light 680g design, suitable for educational introduction

  • XGO-Mini: Twelve degrees of freedom AI robot dog, equipped with robotic arm and 5-megapixel camera, supporting AI vision and voice recognition

  • XGO-Rider: Wheeled-legged open source development platform, based on Raspberry Pi, 560g desktop-level design, supporting AI edge computing, self-balancing control and terrain crossing

  • More models will be added in the future.

Installation Requirements

This pip package needs to be installed on the Raspberry Pi CM4 of the Luwu XGO robot series.

Installation

pip install xgo-blockly-cm4

Upgrade existing installation:

pip install --upgrade xgo-blockly-cm4

Starting the Service

After successful installation, run the following command to start the visual programming and AI programming server:

xgo-blockly

Usage

After the server starts, open a browser on your computer and visit the Raspberry Pi's IP address and port number (default port is 8000) to begin visual programming and AI programming.

Features

  • 🎯 Visual Programming: Drag-and-drop programming interface, simple and easy to use
  • 🤖 AI Programming Assistant: Intelligent code generation and optimization suggestions
  • 🔗 Real-time Control: Direct control of Luwu robot hardware
  • 🌐 Web Interface: Cross-platform browser access
  • 📱 Responsive Design: Supports computers, tablets and other devices

Version History

v1.0.0.1

  1. Adjusted A and B button mapping
  2. Added Doubao AI model activation and management guide

Technical Support

If you have any questions or need technical support, please contact the Luwu Robotics technical team.

Contact: hello@xgorobot.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xgo_blockly_cm4-1.0.1.9.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xgo_blockly_cm4-1.0.1.9-py3-none-any.whl (1.2 MB view details)

Uploaded Python 3

File details

Details for the file xgo_blockly_cm4-1.0.1.9.tar.gz.

File metadata

  • Download URL: xgo_blockly_cm4-1.0.1.9.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for xgo_blockly_cm4-1.0.1.9.tar.gz
Algorithm Hash digest
SHA256 5c3482c1a12809b35dec40ab9753fbbab1f3d689b3222c81223ab5c667bd050e
MD5 6d86caca6c942368f5eb5dc2b96c9764
BLAKE2b-256 c313165745ec83d138f4456f4066ba898cfbd392ff8d28b27bb560cac0d13a73

See more details on using hashes here.

File details

Details for the file xgo_blockly_cm4-1.0.1.9-py3-none-any.whl.

File metadata

File hashes

Hashes for xgo_blockly_cm4-1.0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 174c18c6d1b7402e61e11728bf8ee7d0e2a78499d9f675c60dabc071a83da935
MD5 db0d24bdb84d0ce2eef254058e090518
BLAKE2b-256 4f1d1ae65ea4e04691b90b7a2cc7a5c5f98df08c2d3b240e384f829bb155866e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page