Robotics Morning Packaging Artifact: Why Now + OEM Evidence Curves v1

Date: 2026-06-12 Owner: Hugo / Genius Team Agent: Finance / Charlie AGT-002 Status: public-safe research artifact for morning review / Codex packaging Visibility: PUBLIC Related files:

• knowledge/robotics-research-harness.md
• knowledge/robotics-sharing-backlog.md
• knowledge/robotics-catalyst-map-for-slides-v1.md
• knowledge/robotics-oem-three-evidence-curves-public-brief-v1.md
• knowledge/robotics-tesla-figure-unitree-slide-evidence-v1.md
• knowledge/robotics-public-claim-bank-v1.md

Public-safety: yes. No Hugo private portfolio data. No trade recommendation.

0. One-line answer

截至 2026-06-12，早晨 review 最值得推进的公开表达不是再扩展公司列表，而是把 slide 3「Why robotics now」和 slide 11「Tesla / Figure / Unitree」合并成一条清晰主线：

机器人研究从 demo narrative 进入 evidence tracking，因为 AI stack、低成本硬件、客户现场 KPI、制造 KPI、供应链 filing 五类证据同时开始可量化；但这些证据仍是 S3/S4，不是 S5 scaled commercial economics。 🟢/🟠

1. Packaging objective

Codex 可以把这份 artifact 压缩成：

1. 一张 opening / slide 3：Why robotics now: evidence type changed。
2. 一张 slide 11：Tesla / Figure / Unitree: three evidence curves, not one horse race。
3. 一个 /robotics 或 /robotics/signals public site section：当前周期是 S4-heavy early deployment / supply-chain validation，不是 return cycle。

核心防误读：

• designed capacity ≠ current production；
• deployment KPI ≠ full unit economics；
• low price ≠ reliability / margin；
• supplier filing revenue ≠ named humanoid customer proof；
• evidence map ≠ trade recommendation。

2. The morning-review synthesis

A. Why robotics now: 证据类型变了

Current read: 这五类证据足够支撑一个 serious tracking system，但不足以支持「行业已经完成商业化」的结论。🟠 synthesis as of 2026-06-12.

B. Tesla / Figure / Unitree: 三条证据曲线，不是排名

Current read: Figure has the clearest deployment KPI, Tesla has the largest disclosed capacity ambition, Unitree has the strongest price/access signal. 这不是 winner ranking；三者都缺完整 S5 chain。🟠 synthesis as of 2026-06-12.

3. Slide-ready version

Slide 3 draft

Title: Why robotics now: evidence type changed

Subtitle: The sector is moving from viral demos to five trackable evidence curves — AI stack, hardware cost, deployment KPI, manufacturing KPI, and supplier filings.

Main visual:

2025-2026: evidence became trackable

AI stack        Hardware cost      Deployment KPI       Manufacturing KPI      Supplier filings
GR00T / sim     Unitree $4.9k+     Figure BMW hours     Figure yield/cadence    Leaderdrive revenue
platforms       humanoids          parts handled        Tesla designed lines    units / margin

What this means: S4-heavy early deployment / supply-chain validation.
What it does NOT mean: S5 scaled commercial economics already proven.

Footer: Evidence map only. No winner ranking. No trade recommendation. S4-heavy does not equal S5 return cycle.

Slide 11 draft

Title: Tesla / Figure / Unitree: three evidence curves, not one horse race

Subtitle: Capacity ambition, deployment KPI, and cost-access curve answer different commercialization questions.

Main visual:

Tesla Optimus                  Figure AI                         Unitree / 宇树
Capacity ambition              Deployment + manufacturing KPI    Cost-access platform
1M Fremont designed line       BMW 1,250+ hours / 90k+ parts     R1 $4.9k / G1 $13.5k
10M Texas long-term design     BotQ 350+ robots / >80% EOL FPY   H2 $29.9k + dev stack

Missing before S5:
Tesla: actual output, yield, external paid customers, robot revenue, gross margin.
Figure: contract value, repeat orders, customer ROI, intervention rate, gross margin.
Unitree: shipments, deployment KPI, uptime/reliability, support cost, margin.

Footer: Designed capacity ≠ production; customer KPI ≠ full economics; low price ≠ reliability or margin.

4. Public site section draft

Why robotics now: 不是故事更大，而是证据更可验证

机器人行业过去不缺 demo 和 TAM，缺的是可以持续跟踪、可以证伪、可以连接到商业化的证据。2025–2026 的变化在于，公开材料开始同时出现五类更具体的信号：AI / robot foundation model stack、低成本 humanoid hardware、真实客户现场 KPI、制造 cadence / yield / capacity，以及供应链上市公司 filings 中的 revenue / shipment / margin 线索。

这些信号很重要，但还不能被压缩成「机器人已经全面商业化」。更准确的周期判断是：humanoid robotics 正从 demo narrative 进入 S4-heavy early deployment / supply-chain validation；下一步真正改变 thesis 的，是 multi-customer paid deployment、repeat orders、customer-confirmed ROI/payback、low intervention rate、actual production output、unit economics、robot revenue 和 gross margin。

Tesla、Figure、Unitree 的比较也应该按证据类型阅读，而不是按 winner ranking 阅读。Tesla 证明的是 capacity ambition / vertical integration；Figure 证明的是 deployment KPI / manufacturing KPI；Unitree 证明的是 cost-access / developer-platform curve。三条曲线都重要，但没有任何一条单独构成 S5 scaled-commercial-economics proof。

5. Signal vs noise

Signal

1. Runtime hours、task count、shift schedule、customer site、production contribution。🟢
2. Production cadence、first-pass yield、delivered units、actuator/battery output。🟢
3. Filing-backed designed capacity / production-line disclosure。🟢
4. Transparent product price points that change experimentation cost。🟢
5. Filing-backed revenue、shipment volume、gross margin、R&D/capex。🟢
6. Future S5 trigger: repeat paid deployment + customer-confirmed ROI/payback + low intervention + revenue/margin disclosure。🟢 if filing/customer/company-confirmed.

Noise unless upgraded

1. Viral demo without runtime, intervention rate, task definition, reset count, or customer context。🔴/🟠
2. Designed capacity treated as current output。🟢 for stated capacity; 🟠 for production inference.
3. Customer logo without robot count, contract value, ROI/payback, or repeat-order evidence。🟢/🟠
4. Low price treated as proof of reliability or gross margin。🟠
5. Supplier product fit / concept exposure treated as named OEM proof。🔴/🟠

6. Common misconceptions

1. “Why robotics now = TAM suddenly bigger.”

   • Correction: the key change is not TAM language; it is the emergence of quantifiable evidence curves. 🟠 synthesis.

2. “Tesla 设计产能 1M/10M，所以已经量产。”

   • Correction: Tesla filing language supports designed capacity / long-term designed capacity, not current production rate. 🟢/🟠

3. “Figure 有 BMW KPI，所以已经证明完整商业化。”

   • Correction: BMW KPI is strong S4 deployment evidence, but public materials still lack contract value, robot count, customer ROI/payback, repeat-order economics, intervention rate, and gross margin. 🟢/🟠

4. “Unitree 低价，所以商业化最确定。”

   • Correction: low price lowers experiment cost, but does not prove industrial reliability, service cost, gross margin, or customer ROI. 🟢/🟠

5. “供应链 filing 增长就等于 humanoid winner。”

   • Correction: filing-backed revenue is stronger than concept exposure, but still needs humanoid-specific customer/order/revenue/margin proof. 🟢/🟠

7. What would change our mind

Upgrade toward S5 if public sources disclose:

• Tesla: actual Optimus quarterly output, line yield, internal factory KPI/cost savings, external paid customers, robot revenue, or gross margin. 🟢/🟠
• Figure: repeat deployments across BMW / Catalyst / another named customer, robot count, customer-confirmed ROI/payback, uptime/intervention, contract value, or gross margin. 🟢/🟠
• Unitree: humanoid shipment volume, customer deployment KPI, uptime/reliability, warranty/support cost, gross margin, or repeat orders. 🟢/🟠
• Suppliers: named humanoid customer, humanoid-specific revenue split, order volume/value, single-robot value content, or sustained margin under volume ramp. 🟢/🟠

Downgrade if:

• capacity language is not followed by output/yield/customer KPI;
• customer announcements remain logo-only;
• low-cost hardware creates support burden or low-margin commoditization without deployment economics;
• supplier revenue growth is accompanied by margin collapse or cannot be tied to robot-relevant demand.

8. Think Deeper questions

1. 如果 Tesla 先把 Optimus 用于内部工厂，不外售，商业化证据应该看 internal cost savings、factory KPI，还是 external revenue？
2. Figure 最快从 S4 升到 S5 的指标是什么：repeat order、customer ROI/payback、intervention rate、uptime，还是 gross margin？
3. Unitree 的低价硬件会把价值迁移到软件/数据/服务，还是先把 humanoid body commoditize？
4. Supplier filings 中，什么比收入增长更重要：named customer、humanoid-specific split、single-robot value content，还是 margin durability？
5. 公开市场最容易误读哪类证据：designed capacity、customer logo、low price、viral demo，还是 supplier revenue？

9. Source list

Primary / official sources:

• NVIDIA Isaac GR00T official developer page: https://developer.nvidia.com/isaac/gr00t 🟢 accessed 2026-06-09 in robotics-catalyst-map-for-slides-v1.md; used for AI stack / robot foundation model infrastructure claim.
• Tesla Q1 2026 Update, Form 8-K Exhibit 99.1, filed 2026-04-22: https://www.sec.gov/Archives/edgar/data/1318605/000162828026026551/exhibit991.htm 🟢 used for Fremont 1M robots/year designed line and Texas 10M robots/year long-term designed capacity.
• Figure official post, “F.02 Contributed to the Production of 30,000 Cars at BMW”, 2025-11-19: https://www.figure.ai/news/production-at-bmw 🟢 used for BMW deployment KPI.
• Figure official post, “Ramping Figure 03 Production”, 2026-04-29: https://www.figure.ai/news/ramping-figure-03-production 🟢 used for BotQ manufacturing metrics.
• Figure official post, “Figure Signs Agreement with Catalyst Brands to Scale Humanoid Operations”, 2026-05-26 🟢 for announcement; 🟠 for economics because robot count, contract value, ROI/payback and margin are undisclosed.
• Unitree R1 product page: https://www.unitree.com/R1 🟢 accessed 2026-06-10 in existing evidence files; used for R1 from US$4,900.
• Unitree G1 product page: https://www.unitree.com/g1/ 🟢 accessed 2026-06-10; used for G1 from US$13.5K.
• Unitree H2 product page: https://www.unitree.com/H2 🟢 accessed 2026-06-10; used for H2 US$29,900.
• Unitree H2 Plus / G1-D official product pages 🟢 accessed 2026-06-10 in existing evidence files; used for Jetson / Isaac / TeleOp / Sim / data-training references.
• 绿的谐波 2025 annual report PDF: https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-04-23/688017_20260423_EU45.pdf 🟢 used for 2025 revenue, net profit, harmonic reducer sales, robot-parts revenue, and gross margin.

Internal synthesis sources:

• knowledge/robotics-catalyst-map-for-slides-v1.md 🟠 synthesis artifact, dated 2026-06-11.
• knowledge/robotics-oem-three-evidence-curves-public-brief-v1.md 🟠 synthesis artifact, dated 2026-06-11.
• knowledge/robotics-tesla-figure-unitree-slide-evidence-v1.md 🟠 synthesis artifact, dated 2026-06-11.
• knowledge/robotics-public-claim-bank-v1.md 🟠 synthesis artifact, dated 2026-06-11.

10. Public-safe flag

Safe to publish if used as written:

• No Hugo private portfolio weights or private rationale.
• No buy / sell / hold language.
• No paid-report excerpts.
• No private-channel claims.
• Source grades and as-of dates included for material claims.
• Capacity, deployment KPI, price/access, supplier filing, and economics are separated.

Do not publish:

• Any winner ranking.
• Any claim that Tesla has 1M/10M current Optimus annual production.
• Any claim that Figure has proven full scaled unit economics.
• Any claim that Unitree low price proves industrial reliability or margin.
• Any claim that 绿的谐波 filing revenue proves named humanoid OEM exposure.
• Any trade recommendation.