alfworld-navigation-planner

@zjunlp · 收录于 5 天前 · 上游提交 2 周前

Plans a path to move the agent between receptacles to search for target objects. Use this when you need to traverse the environment to reach a specific location or systematically explore multiple areas. It takes the current location and destination receptacle as input, and outputs the next 'go to' action to approach the target.

场景环境导航目标搜索

适合你，如果需要在虚拟环境中自动规划移动路径

/ 下载安装

https://github.com/zjunlp/skillnet/tree/main/experiments/src/skills/alfworld/alfworld-navigation-planner ↗

/ 通过 npx 安装 校验哈希

npx oh-my-skill add zjunlp/skillnet/alfworld-navigation-planner

/ 通过 bash 安装

curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- zjunlp/skillnet/alfworld-navigation-planner

/ 已经装过?验证本机副本,不用重装

npx oh-my-skill verify zjunlp/skillnet/alfworld-navigation-planner

安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。

1112GitHub stars

~417最小装载

~417含声明引用

~858文本包总量

索引托管

怎么用

商店整理自技能原文 · 版本 7bb9a48 · 表述以原文为准

它做什么

当你在室内环境需要移动到特定容器（如桌子、抽屉）时，Claude 会规划从当前位置到目标容器的路径，并输出下一步“go to”动作。

什么时候触发

当需要移动到某个具体位置（如从床到桌子），或系统性搜索多个区域时触发。

装好后可以这样说

返回 go to desk 1。

规划路径。

技能原文 SKILL.md作者撰写 · MIT · 7bb9a48

Instructions

Use this skill to navigate between receptacles (e.g., bed, desk, drawer) in a household environment to locate objects. The core logic is handled by the bundled script.

Input/Output Format

Input: Provide the agent's current location and the target receptacle.
Output: The skill will return the next go to {recep} action to execute.

How to Use

Identify your goal. Determine which receptacle you need to search (e.g., desk 1 to find a desklamp).
Call the skill. Pass your current location and the target receptacle.
Execute the action. Perform the go to action returned by the skill.
Observe and repeat. After moving, observe the new location. If the target object is not found, use this skill again to plan movement to the next most promising receptacle.

Key Principles

Systematic Search: Move efficiently between likely receptacles instead of random exploration.
Adaptive Planning: If an action fails ("Nothing happened"), the script's logic helps choose an alternative path.
Context Preservation: Always note your current location after each move for the next planning step.

Example Thought Process:

Thought: I need to find a desklamp. The desk 1 is a likely location. I am currently at bed 1. Action: Use alfworld-navigation-planner with current location bed 1 and target desk 1. Result: go to desk 1

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。

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