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Embodied intelligence

Name variants 具身智慧 · 具身智能

一场别开生面的具身智能科技盛宴

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First observed in our collection
Oct 12, 2026, 3:15 AM UTC
Earliest cited publication
Oct 12, 2026, 2:18 AM UTC
Last observed
Nov 4, 2026, 10:15 AM UTC

Evidence in the last complete seven days

Source mentions
3
Previous seven days 2
Distinct sources
1
Previous 2
Comparable growth
Not comparable
Ranking appearances
0

Collection observations and undated records are separate from dated publication counts. Observed in 7d:4 · Undated records:0

Collection coverage · Limited historyCurrent / previous observed days 7 / 3

Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.

Current window:2026-10-29 → 2026-11-05 (end excluded) · History 11 days

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv63Nov 5, 2026, 10:00 AM UTC
arXiv72Nov 5, 2026, 10:01 AM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 2:30 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
GitHub73Nov 5, 2026, 12:15 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases71Nov 5, 2026, 12:00 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub Discovery00Nov 5, 2026, 3:13 PM UTC
GitHub Trending73Nov 5, 2026, 3:14 PM UTC
Google72Nov 5, 2026, 10:00 AM UTC
Hugging Face72Nov 5, 2026, 8:15 AM UTC
Hugging Face Spaces00Nov 5, 2026, 3:13 PM UTC
Hacker News73Nov 5, 2026, 12:45 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News00Nov 5, 2026, 3:13 PM UTC
Show HN00Nov 5, 2026, 3:13 PM UTC
MIT News72Nov 5, 2026, 10:01 AM UTC
OpenAI73Nov 5, 2026, 11:30 AM UTC
Product Hunt73Nov 5, 2026, 12:45 PM UTC
量子位73Nov 4, 2026, 10:15 AM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
Hugging Face Models00Nov 5, 2026, 3:41 PM UTC
HF Daily Papers00Nov 5, 2026, 3:41 PM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
SEC EDGAR73Nov 5, 2026, 10:30 AM UTC
Sequoia Capital72Nov 5, 2026, 10:00 AM UTC
Simon Willison00Nov 5, 2026, 3:13 PM UTC
TechCrunch73Nov 5, 2026, 2:30 PM UTC
Contracts Finder73Nov 5, 2026, 10:00 AM UTC
V2EX73Nov 5, 2026, 2:30 PM UTC
  • Counts describe monitored public sources, not the whole web or search demand.
  • Both weeks need adequate, comparable collection coverage.

Daily history · up to 90 days

Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.

2026-10-122026-11-05

Dotted markers indicate days with no record. They are not counted as zero mentions.

View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-121110
2026-10-13 · No record————
2026-10-141100
2026-10-150010
2026-10-16 · No record————
2026-10-17 · No record————
2026-10-18 · No record————
2026-10-191100
2026-10-200010
2026-10-21 · No record————
2026-10-220000
2026-10-230000
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-270000
2026-10-282210
2026-10-291120
2026-10-301110
2026-10-310000
2026-11-010000
2026-11-020000
2026-11-030000
2026-11-041110
2026-11-050000
Source reference for 超维动力全栈矩阵亮相2026香港金融科技周,具身智能硬科技引爆全场. Screenshot not yet available.
Source record · preview pending · qbitai.comOpen the source for the full page.

Source evidence

Sources in the evidence shown:量子位 6 · arXiv 1 · V2EX 1

  1. 量子位 · Published Nov 4, 2026

    超维动力全栈矩阵亮相2026香港金融科技周,具身智能硬科技引爆全场

    一场别开生面的具身智能科技盛宴

    View source record →
  2. 量子位 · Published Oct 30, 2026

    从学习人类到学习机器人同伴,清华大学联合无问芯穹、智元提出具身智能规模化落地新路径

    让机器人成为彼此的“老师”

    View source record →
  3. 量子位 · Published Oct 29, 2026

    小雨智造与国家钢结构质检中心共建实验室,乔忠良:具身智能新质生产力已成事实

    2026年10月27日,“工业具身智能焊接与检测技术联合实验室”正式揭牌成立。

    View source record →
  4. 量子位 · Published Oct 28, 2026

    威卡:用数据集链接具身智能和工程机械

    威卡:为工程机械的智能化与少人化,提供一条被验证的路径

    View source record →
  5. arXiv · Published Oct 28, 2026

    OmniBrain-0: A Unified Agentic Model for Embodied Intelligence

    arXiv:2610.36013v1 Announce Type: new Abstract: General-purpose embodied intelligence requires robots to coordinate diverse skills over long horizons, track task progress, and recover from failures. Specialist policies alone do not ensure task-level reliability, while powerful multimodal agents rely on costly reasoning and external experience that compact mo

    View source record →
  6. 量子位 · Published Oct 19, 2026

    赛场交卷 未来已来——首届全球具身智能应用创新挑战赛暨2026中国机器人大赛闭幕

    View source record →
  7. 量子位 · Published Oct 14, 2026

    抢先盘点2026全球开发者先锋大会暨国际具身智能技能大赛十大亮点!

    View source record →
  8. V2EX · Published Oct 12, 2026

    [推广] 作者自荐: Botstest,一个具身智能与机器人资源目录

    View source record →

Review priority 50 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

  • Evidence

    18.6 / 30

    Distinct dated articles or first observations; repeat crawling adds nothing.

  • Publisher diversity

    8 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

    Comparable complete weeks only; no percentage from a zero baseline.

  • Recent evidence

    13.7 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    9.7 / 10

    Explicit entities and technical concepts outrank ambiguous acronyms.

Limitations and interpretation

  • First observation is a collection milestone, not proof that a word or product is new to the world.
  • Counts describe monitored public sources, not the whole web or search demand.
  • First observed here is not the invention date of a name or idea.
  • Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
  • Owner grouping is conservative; undisclosed syndication may remain.
  • An established concept or common product name retained as a baseline, not a newly invented term.
  • Both weeks need adequate, comparable collection coverage.
  • Sources behind this term changed or lack a comparable baseline.
  • Current evidence comes from one publisher or owner.

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