Linux 系统 Codex 一键安装 镜像加速下载 免费试用指南
Linux System Codex One-Click Installation - Mirror Accelerated Download with Free Trial Guide
适配服务器 Linux 系统的 Codex 安装程序，镜像通道快速下载安装包，附带详细免费试用开通指南，运维、后端开发均可免费部署测试。
Codex installer adapted for server Linux systems, mirror channel for quick download of installation packages, with detailed free trial activation guide, operations and maintenance and backend development can be freely deployed and tested.
Codex 高速镜像下载渠道 绿色一键安装 免费试用期限查询
Codex High-Speed Mirror Download Channel - Green One-Click Installation with Free Trial Period Query
汇总靠谱 Codex 国内高速镜像下载渠道，绿色免解压一键安装包，可查询当前免费试用时长与调用额度，合理规划工具使用时长。
Summarize reliable Codex domestic high-speed mirror download channels, green uncompressed one-click installation package, can query current free trial duration and call quota, reasonably plan tool usage time.
OpenClaw 本地安装包 - 全平台AI爪机控制机器人系统
OpenClaw Local Installation Package - Full-Platform AI Claw Robot Control System
OpenClaw是开源的AI驱动机械爪控制系统，支持本地部署。提供完整的机器人控制解决方案，包括运动规划、抓取算法、视觉识别等模块。适用于实验室研究、工业自动化和教育演示。
OpenClaw is an open-source AI-driven mechanical claw control system supporting local deployment. Provides a complete robotic control solution, including motion planning, grasping algorithms, visual recognition, and other modules. Suitable for laboratory research, industrial automation, and educational demonstrations.
OpenClaw 一键安装包 - Windows系统专用快速部署版
OpenClaw One-Click Installation Package - Windows-Specific Rapid Deployment Edition
专为Windows用户设计的OpenClaw一键安装包，集成所有必要依赖和驱动程序。包含CUDA优化库、Python环境、ROS桥接等组件，支持NVIDIA GPU加速。安装后即可立即使用，无需复杂配置。
A one-click installation package for OpenClaw designed specifically for Windows users, integrating all necessary dependencies and drivers. Includes CUDA optimized libraries, Python environment, ROS bridge and other components. Ready to use immediately after installation, no complex configuration required.
OpenClaw macOS版 - Apple Silicon优化的AI机械爪控制器
OpenClaw macOS Version - AI Robotic Claw Controller Optimized for Apple Silicon
OpenClaw macOS版本，为Apple Silicon芯片优化的AI机械爪控制系统。支持M1/M2/M3芯片的神经网络引擎加速，提供原生性能表现。包含完整的开发工具链和可视化界面，适合研究和开发使用。
OpenClaw macOS version, an AI robotic claw control system optimized for Apple Silicon chips. Supports neural engine acceleration for M1/M2/M3 chips, delivering native performance. Includes a complete development toolchain and visualization interface, suitable for research and development use.
OpenClaw Linux发行版 - Ubuntu/CentOS兼容的机器人操作系统
OpenClaw Linux Distribution - Robot Operating System Compatible with Ubuntu/CentOS
OpenClaw Linux发行版，兼容Ubuntu 20.04+/CentOS 8+的机器人操作系统。集成ROS Noetic和ROS 2 Humble支持，预配置OpenCV、TensorFlow、PyTorch等AI框架。支持Docker容器化部署，便于集群管理和远程控制。
OpenClaw Linux distribution, a robot operating system compatible with Ubuntu 20.04+/CentOS 8+. Integrates ROS Noetic and ROS 2 Humble support, pre-configured with AI frameworks such as OpenCV, TensorFlow, and PyTorch. Supports Docker containerized deployment for easy cluster management and remote control.
OpenClaw深度学习模型库 - 预训练抓取姿态估计AI模型
OpenClaw Deep Learning Model Library - Pre-trained Grasping Pose Estimation AI Models
OpenClaw专用的深度学习模型库，包含多个预训练的抓取姿态估计AI模型。支持6D物体姿态估计、抓取点预测、力控制优化等功能。模型经过数万次物理仿真训练，在真实环境中表现优异。
OpenClaw-specific deep learning model library containing multiple pre-trained grasping pose estimation AI models. Supports 6D object pose estimation, grasp point prediction, force control optimization and other functions. Models trained with tens of thousands of physics simulations, performing excellently in real-world environments.
OpenClaw视觉系统 - 基于RGB-D传感器的3D物体识别套件
OpenClaw Vision System - 3D Object Recognition Kit Based on RGB-D Sensors
OpenClaw专用视觉系统，基于RGB-D传感器的3D物体识别和分割套件。支持Intel RealSense、Azure Kinect等深度相机，提供实时物体检测、分割、分类功能。包含标定工具和可视化界面，便于快速部署。
OpenClaw-specific vision system, a 3D object recognition and segmentation kit based on RGB-D sensors. Supports Intel RealSense, Azure Kinect and other depth cameras, providing real-time object detection, segmentation, and classification functions. Includes calibration tools and visualization interface for quick deployment.