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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.

端口占用导致AI服务启动失败的解决方案详解。介绍如何检查端口占用情况、终止占用进程、修改默认端口等方法，确保AI服务正常启动和运行。

Detailed solutions for AI service startup failure due to port occupation. Introduces how to check port occupation status, terminate occupying processes, modify default ports and other methods, ensuring normal startup and operation of AI services.

AI模型乱码解决方法，涵盖编码配置和字符集修复。解决因编码不匹配导致的文本乱码问题，提供环境变量设置、编码转换等解决方案。

AI model garbled text resolution, covering encoding configuration and character set repair. Solves text garbling issues caused by encoding mismatches, providing environment variable settings, encoding conversion and other solutions.