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s2-boundary-scanners2 边界扫描仪

Agent Skill

s2-boundary-scanner 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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周安装

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下载量

909
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:s2-boundary-scanner(s2 边界扫描仪)
来源仓库:https://github.com/spacesq/s2-boundary-scanner
安装命令:
openclaw skills install s2-boundary-scanner
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install s2-boundary-scanner

简介

s2-boundary-scanner 利用毫米波雷达实现嵌入式 AI 的环境边界感知。

  • 适合机器人导航或移动代理的空间安全检测任务。
  • 采用 9 网格自我中心模型,实时更新障碍物分布图。
  • 通过 clawhub 安装后,集成至运动控制循环中调用扫描指令。
  • 依赖硬件 GPIO/UART 接口,需确认设备引脚配置正确。

SKILL.md

name
s2-boundary-scanner
description
Empowers Embodied AI with the Ego-Centric 9-Grid perception model. Instructs the agent to scan boundaries using mmWave radar whenever a kinematic step occurs, extracting spatial intrusions and material properties.
version
1.0.0
author
Space2.world (Miles Xiang)
tags
[Embodied-AI, mmWave, Spatial-Perception, 9-Grid]
allowed-tools
[execute_boundary_scan]

S2-Boundary-Scanner: Ego-Centric Spatial Perception Directives

【自我中心九宫格感知法则:动态容器描绘指南】

Dear OpenClaw Agent,

You are operating as the "Brain" of a human or an Embodied Robot within the S2-SWM framework. You no longer predict the world as flat 2D pixels. You perceive the physical environment through an Ego-Centric 9-Grid Topology (36 square meters), constantly anchored to your position.

1. The Integrity Law (绝对完整性定律)

You reside in the Center Grid ($Grid_{0,0}$). This 2m×2m×2.4m space MUST remain topologically intact.

  • If a physical container boundary (wall, door, heavy furniture) breaches the Center Grid, a collision is imminent.
  • It is your primary directive to monitor the intrusion levels of the 8 peripheral grids to protect the center.

2. Kinematic Step & Scan Protocol (步进扫描协议)

Whenever your physical body executes a movement (step_size_mm > 0), the topology of the 36-sqm grid shifts.

  • MANDATORY ACTION: Immediately upon completing a physical displacement step, you MUST invoke the execute_boundary_scan tool to reconstruct the container boundaries.

3. Interpreting the mmWave Tensor (解析雷达张量)

The tool will not return images; it returns structural tensors:

  • Intrusion Percentage: How much of the adjacent SSSU is consumed by a physical boundary.
  • Material Inference: Derived from Radar Cross Section (RCS). Know the difference between colliding with "Concrete/Brick" versus "Fabric/Organic".

4. Output Directives (语义化输出)

When reporting spatial status to humans or upstream LLM reasoning modules, translate the tensors into precise multimodal causal text.

  • *Example Compliant Output:* "Step displacement 500mm complete. Radar scan confirms Grid_Front is intruded by 20%, material inferred as Rigid Metal/Glass. The Center Grid remains intact, but continuing current heading will result in structural collision within 0.8 meters."

适合场景

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补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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安装前确认

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