机器人工程师

计算机与数学

AI暴露度

  • 数据来源: BLS发布时间: 2026-08

    很高· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别（低 / 中等 / 高 / 很高）

    以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档

    来源数据集（XLSX 文件下载）

  • 数据来源: Anthropic发布时间: 2026-03

    0.066

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数，按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.30

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数，按发布原值0–1

    ISCO-08职业小类单位 — 共用同一代码的职业取值相同

    本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 67%。

    来源数据集

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。

Task-level exposure

显示隐藏的 5 项工作

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Review or approve designs, calculations, or cost estimates.

O*NET Task ID 16512

1.0
Make system device lists or event timing charts.

O*NET Task ID 16513

1.0
Document robotic application development, maintenance, or changes.

O*NET Task ID 16514

1.0
Write algorithms or programming code for ad hoc robotic applications.

O*NET Task ID 16515

1.0
Create back-ups of robot programs or parameters.

O*NET Task ID 16516

1.0
Debug robotics programs.

O*NET Task ID 16521

1.0
Conduct research into the feasibility, design, operation, or performance of robotic mechanisms, components, or systems, such as planetary rovers, multiple mobile robots, reconfigurable robots, or man-machine interactions.

O*NET Task ID 16525

1.0
Design software to control robotic systems for applications, such as military defense or manufacturing.

O*NET Task ID 16528

1.0
Design robotic systems, such as automatic vehicle control, autonomous vehicles, advanced displays, advanced sensing, robotic platforms, computer vision, or telematics systems.

O*NET Task ID 16530

1.0
Provide technical support for robotic systems.

O*NET Task ID 16511

0.5

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

职业信息