Easy teleoperate tools for robotic devices control with VR headset
Project description
Easy Teleoperate Tools
EasyTeleop 是一个基于VR设备控制机械臂的遥操作工具集。该工具集支持多种设备的集成,包括RealMan机械臂、VR头显和RealSense摄像头,并提供接口进行设备管理和遥操作控制。
本项目已发布到PYPI,可以使用 pip 安装:
pip install easyteleop
功能特性
- 多设备管理:支持机械臂、VR头显和摄像头设备的统一管理
- 遥操作组:可配置不同的遥操作组,灵活组合设备
- 实时状态监控:实时显示设备连接状态和运行情况
- 数据采集:支持遥操作过程中的数据采集和存储
- WebRTC视频流传输:支持低延迟视频流传输
- 可视化:提供姿态可视化功能
- qpSWIFT优化:集成qpSWIFT二次规划求解器,用于机器人逆运动学求解
系统架构
本系统采用模块化架构,包含以下几个主要组件:
组件 (Components)
- DataCollect: 数据采集模块
- TeleopMiddleware: 遥操作中间件
- Visualizer: 可视化模块
- WebRTC: WebRTC视频流支持
- VRPacketAnalyzer: VR数据包分析器
- Interpolation: 插值算法
- HandVisualizer: 手部可视化模块
设备模块 (Device)
详细使用参考设备模块文档
- BaseDevice: 设备基类
- Camera: 摄像头设备(RealSenseCamera, TestCamera等)
- Robot: 机械臂设备(RealMan, TestRobot等)
- Hand: 手部设备(Revo2OnRealMan等)
- VR: VR设备(VRSocket, TestVR等)
遥操作组 (TeleopGroup)
详细使用参考遥操组模块文档
- BaseTeleopGroup: 遥操作组基类
- SingleArmWithTriggerTeleopGroup: 单臂触发遥操作组
- TwoArmWithTriggerTeleopGroup: 双臂触发遥操作组
安装指南
环境要求
- Python 3.10+
- Windows/Linux/macOS
- uv 包管理器
克隆仓库(包含子模块)
由于项目使用了 Git 子模块(qp-tools),需要特殊处理来完整克隆仓库:
# 方法1:克隆时初始化子模块
git clone --recurse-submodules https://github.com/Chain-Pray/EasyTeleop.git
# 方法2:克隆后手动初始化和更新子模块
git clone https://github.com/Chain-Pray/EasyTeleop.git
cd EasyTeleop
git submodule init
git submodule update
安装依赖
使用uv管理项目依赖:(不能uv sync因为编辑式安装不能编译C拓展)
# 安装uv(如果尚未安装)
pip install uv
# 安装项目依赖
uv pip install -e .
主要依赖
- aiortc: WebRTC支持
- opencv-python: 图像处理
- pyrealsense2: RealSense摄像头支持
- robotic-arm: 机械臂控制库
- numpy, scipy: 科学计算
- matplotlib: 数据可视化
- qpSWIFT: 二次规划求解器(已集成到包中)
安装与依赖(新版)
环境要求
- Python 3.10+
- Windows/Linux/macOS(建议官方 Python 或 Conda)
- 可选:uv 包管理器(更快的 pip 替代品)
正式安装(推荐)
- 从 PyPI 安装(wheel 已内置 qpSWIFT 扩展,开箱即用)
pip install easyteleop
开发者安装(本地源码 + 编译内置 qpSWIFT)
- 需要本地 C/C++ 构建环境:
- Windows:Visual Studio Build Tools(含"使用 C++ 的桌面开发"组件)
- Linux:gcc/clang 与基础构建工具
- macOS:Xcode Command Line Tools
- 注意:仅执行
uv sync只会安装第三方依赖,不会安装(编译)本包本身;必须安装本包才会编译 qpSWIFT 扩展。
使用 uv(推荐):
pip install uv # 如未安装
uv pip install -e .
或使用 pip:
pip install -e .
安装完成后验证:
python -c "import EasyTeleop, qpSWIFT; print('OK')"
从源码构建 Wheel(用于分发)
uv build # 生成 sdist 与 wheel
# 或仅生成 wheel:
uv build --wheel
构建好的 wheel 中已内置编译完成的 qpSWIFT 扩展(与当前平台/解释器匹配)。
主要依赖(摘要)
- aiortc, opencv-python, pyrealsense2, robotic-arm, numpy, scipy, matplotlib
- qpSWIFT(二次规划求解器,已随包集成并在安装时编译/或随 wheel 分发)
使用方法
简单遥操
在run文件夹下放有一些测试文件,用于直接启动遥操
- run_test.py:双臂和摄像头都采用Test类,VR头显采用VRSocket类
启动服务
运行测试脚本:
# 在项目根目录下
uv run run/run_test.py
项目结构
.
├── run/ # 运行脚本
│ ├── run_test.py # 测试脚本示例
│ └── ... # 其他运行脚本
├── src/
│ └── EasyTeleop/
│ ├── Components/ # 核心组件模块
│ │ ├── DataCollect.py # 数据采集模块
│ │ ├── TeleopMiddleware.py # 遥操作中间件
│ │ ├── WebRTC.py # WebRTC支持
│ │ ├── VRPacketAnalyzer.py # VR数据包分析器
│ │ ├── Interpolation.py # 插值算法
│ │ ├── Visualizer.py # 可视化模块
│ │ ├── HandVisualizer.py # 手部可视化模块
│ │ └── __init__.py
│ ├── Device/ # 设备相关模块
│ │ ├── BaseDevice.py # 设备基类
│ │ ├── Camera/ # 摄像头设备
│ │ │ ├── BaseCamera.py
│ │ │ ├── RealSenseCamera.py
│ │ │ ├── TestCamera.py
│ │ │ └── __init__.py
│ │ ├── Robot/ # 机械臂设备
│ │ │ ├── BaseRobot.py
│ │ │ ├── RealMan.py
│ │ │ ├── TestRobot.py
│ │ │ └── __init__.py
│ │ ├── Hand/ # 手部设备
│ │ │ ├── BaseHand.py
│ │ │ ├── Revo2OnRealMan.py
│ │ │ └── __init__.py
│ │ ├── VR/ # VR设备
│ │ │ ├── BaseVR.py
│ │ │ ├── TestVR.py
│ │ │ ├── VRSocket.py
│ │ │ └── __init__.py
│ │ └── __init__.py
│ ├── TeleopGroup/ # 遥操作组管理
│ │ ├── BaseTeleopGroup.py
│ │ ├── SingleArmWithTriggerTeleopGroup.py
│ │ ├── TwoArmWithTriggerTeleopGroup.py
│ │ └── __init__.py
│ └── __init__.py
├── test/ # 测试文件
├── docs/ # 文档
└── pyproject.toml # 项目配置文件
开发指南
添加新设备类型
- 继承BaseDevice基类(或相应设备类型的基类)
- 实现必要的接口方法(start, stop等)
- 在TeleopMiddleware中注册相应的事件处理函数
扩展遥操作功能
- 在TeleopMiddleware中添加新的事件处理
- 创建新的遥操作组来组织设备
构建和发布
使用uv构建分发包:
uv build
配置好API密钥然后上传PYPI
uv publish
或者使用传统方法构建并发布
python -m build
python -m twine upload dist/*
注意事项
- 所有设备的主循环都需要放在多线程中运行
- 设备控制逻辑不能阻塞主线程
- 设备状态有三种:未连接(0)、已连接(1)、断开连接(2)
- 系统支持自动重连机制
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