开源机械爪机器人狗可实时切换技能，支持自然语言控制。
OpenGo: An OpenClaw-Based Robotic Dog with Real-Time Skill Switching
- 构建可定制技能库，支持自动验证与导入新技能。
- 通过指令动态调度技能，实现在复杂场景下的自主切换。
- 结合人机反馈实现技能自学习，适合非专业用户使用。
单一机器人在应对复杂任务和多场景时仍面临挑战。具备实时获取、组织并切换多种技能的能力，尤其是在动态环境中，已成为具身智能的基本要求。我们提出 OpenGo，一款基于 OpenClaw 的具身机器人狗，可根据场景和任务指令实时切换技能。该系统包含：(1) 可定制的技能库，支持便捷导入与自动验证；(2) 调度器，根据任务提示或语言指令选择并调用相应技能；(3) 自学习框架，基于任务完成情况与人工反馈对技能进行微调。我们在 Unitree Go2 机器人狗上部署该系统，并验证其自主检查与切换技能的能力。此外，通过集成飞书平台通信，实现自然语言引导与人类反馈，使无经验用户可通过简单指令操控机器人狗。
原文摘要 · Abstract (English)
Adaptation to complex tasks and multiple scenarios remains a significant challenge for a single robot agent. The ability to acquire organize, and switch between a wide range of skills in real time, particularly in dynamic environments, has become a fundamental requirement for embodied intelligence. We introduce OpenGo, an OpenClaw-powered embodied robotic dog capable of switching skills in real time according to the scene and task instructions. Specifically, the agent is equipped with (1) a customizable skill library with easy skill import and autonomous skill validation, (2) a dispatcher that selects and invokes different skills according to task prompts or language instructions, and (3) a self-learning framework that fine-tunes skills based on task completion and human feedback. We deploy the agent in Unitree's Go2 robotic dog and validate its capabilities in self-checking and switching of skills autonomously. In addition, by integrating Feishu-platform communication, we enable natural-language guidance and human feedback, allowing inexperienced users to control the robotic dog through simple instructions.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。