人形机器人规格对比：2026年完整数据对比... | HumanoidApplications.com [N1] 最后更新日期：2026年3月30日 [N2] 为什么原始规格并不能说明全部——但它们是最佳切入点 [N3] 截至2026年，已有超过十几款人形机器人实现商业化、已部署或即将投产，规格格局已变得相当复杂。价格区间从 [N4] 到超过 [N5] 。自由度从 [N6] 200个总DoF（XPENG IRON） [N7] 。有效载荷容量从社交机器人的接近零到 [N8] 。本篇分析将透过营销迷雾，识别哪些规格能够转化为实际运营优势——以及哪些数据尚未公开。 [N9] 每自由度价格：机械价值衡量标准 [N10] 最有参考价值的衍生指标之一是 [N11] 每自由度价格 [N12] ——即每美元购买的机械灵巧度代理指标。根据2026年3月30日的公开数据，差距非常显著。 [N13] 认识Ameca！世界上最先进的机器人 | This Morning — This Morning [N14] Unitree G1： [N15] 基础价格为$13,500，完整配置可达43个DoF，G1提供约 [N16] 的性价比——这是市场上机械效率最高的购买选择。 [N17] Figure 03： [N18] 消费者规模目标价低于$20,000，全身44个DoF，预计每DoF约 [N19] ——若该价格目标在量产时能够实现，则具有竞争力。 [N20] Tesla Optimus Gen 2： [N21] 目标价$20,000–$30,000，共28个DoF，每DoF成本从 [N22] 不等——明显较高，不过Tesla的垂直整合表明压缩利润空间是可能的。 [N23] Fourier GR-1： [N24] 定价$150,000–$170,000，53个DoF（GR-2），每DoF成本约 [N25] ——反映企业级制造品质，而非消费级经济性。 [N26] XPENG IRON： [N27] 估计价格$150,000，82个主动DoF，IRON达到约 [N28] 的性价比——在这一级别比Fourier更有价值，其200个总DoF是业内公布的最高数字。 [N29] 需要注意的是，DoF数量本身并不能反映驱动质量、控制带宽或传感器集成度。然而，对于比较每美元机械能力的研发实验室和预算受限的企业买家而言，Unitree G1目前提供了与其他任何已发货机器人截然不同的价值主张。 [N30] 载荷与价格比：谁提供真正的搬运价值 [N31] 对于工业和物流应用，相对于采购成本的载荷容量是关键指标。数据显示，研发级和工作级平台之间存在明显分化。 [N32] Fourier GR-1/GR-2： [N33] 每$1,000支出可获得0.24–0.27 kg [N34] ——在已公布载荷和价格的机器人中，比例最强。 [N35] Unitree H1/H1-2： [N36] 每$1,000可获得0.20–0.33 kg [N37] ——在其价格区间的低端具有竞争力。 [N38] Agility Robotics Digit： [N39] ——在数据集中每美元有效载荷比最弱。然而，Digit的价值主张不是原始载荷，而是在结构化仓库环境中可靠自主处理货箱的能力，现已接近确认的2026年5月1日全面市场推广规模。 [N40] Apptronik Apollo： [N41] 1X NEO： [N42] 每臂约5 kg，$20,000的价格产生约 [N43] ——对于消费级家庭平台来说相当不错，不过用例是任务协助而非负载搬运。 [N44] 灵巧度领先者：手部DoF如何定义能力 [N45] 随着人形机器人从结构化分拣放置操作向非结构化操控发展，手部灵巧度正成为真正的差异化因素。这里的数据尤其能说明问题。 [N46] Figure 03以每只手16个DoF领先于公布数据的领域 [N47] ，如果实现低于$20,000的价格目标，将代表卓越的灵巧度性价比。Tesla Optimus Gen 2以 [N48] 紧随其后，UBTECH Walker S1/S2同样公布 [N49] 每臂7个DoF。AgiBot A2 Max以 [N50] 67个总DoF [N51] 在已确认部署的机器人中披露的最高全身灵巧度数据。XPENG IRON的200个总DoF虽然纸面数据最高，但包括被动DoF，尚未在独立部署数据中得到验证——IRON的大规模生产于2026年1月才启动。 [N52] 关键的是，Boston Dynamics Atlas——在已演示的物理性能方面可以说是最有能力的机器人——并未公开披露DoF或载荷数据。其仅限企业级供货且2026年产能已全部预订（2026年2月部署于Hyundai Metaplant，2026年4月1日确认部署于Google DeepMind），表明Boston Dynamics正在刻意管理需求，而非在公布的规格表上进行竞争。 [N53] 按使用案例的最佳价值：细分视角 [N54] 学术研究和原型开发 [N55] 最佳价值：$13,500的Unitree G1。 [N56] 凭借高达43个DoF、确认的CES 2026商业发货以及现已全球可用的机器人即服务模式，G1为大学实验室和创新部门提供了一个价格无需资本支出审批的能力操控平台。起步价$4,900的Unitree R1最终可能会取代G1在这一细分市场的地位——但R1的载荷和DoF规格尚未公开确认。 [N57] 工业制造和物流 [N58] 最佳价值：纯能力的Fourier GR-1/GR-2；经过部署验证可靠性的Agility Digit。 [N59] Fourier的40 kg载荷是数据集中已确认的最高数据，对于重载工作流程值得关注。然而，Agility Digit在真实仓库环境中的运营记录——现计划于2026年5月扩展至全面市场——提供了规格表无法体现的风险调整优势。对于容忍窗口较长的绿地工业部署，XPENG IRON的82个主动DoF和汽车工厂验证（自2025年1月起部署于XPENG广州工厂）以估计$150,000的价格提供了值得考虑的第三选择。 [N60] 消费和家庭协助 [N61] 最佳价值：$20,000或$499/月的1X NEO。 [N62] 作为2026年开始真正向消费者家庭交付的唯一人形机器人，NEO占据了一个独属类别。其从远程操作到自主学习模式在运营上坦诚面对当前的AI局限性。Figure 03低于$20,000的消费者目标价纸面上很吸引人，但截至今天仍无货——普通消费者没有确认的交付时间表。 [N63] 高知名度和企业展示 [N64] 最佳价值：能获取它的组织的Boston Dynamics Atlas。 [N65] 随着2026年2月运营的Hyundai Metaplant部署以及2026年4月1日激活的Google DeepMind合作，Atlas拥有目前任何竞争对手在企业层面都无法匹配的部署信誉。代价是可及性——2026年产能已全部预订，价格仍未披露，仅限六位数企业合同。 [N66] 数据空白在哪里——为什么这很重要 [N67] 分析上的诚实要求承认未知之处。 [N68] Boston Dynamics Atlas、Apptronik Apollo、Sanctuary AI Phoenix、NEURA Robotics 4NE-1和Ameca [N69] 均未公开披露DoF或载荷数据。这并非偶然——企业供应商经常隐瞒规格以防止直接商品化比较，并在合同谈判中保持定价灵活性。评估这些平台的买家应将未披露的规格视为谈判筹码，而非疏忽。 [N70] AgiBot A2/A2 Max的定价同样未列出，XPENG IRON的$150,000数字是行业估计而非确认的MSRP。随着IR IRON确认的大规模生产发布日期2026年4月1日临近，预计将正式公布价格，这将实质性重塑高DoF企业级梯

Q: Industrial Manufacturing & Logistics

Best value: Fourier GR-1/GR-2 at 40 kg payload and $150,000–$170,000. For heavy material handling in automotive or warehousing contexts, no other platform with disclosed specs matches this payload at this price. The GR-2's 53 DOF adds versatility. Mass production is rumored for June 2026, which would significantly improve delivery timelines. Runner-up: Unitree H1/H1-2 at 30 kg for $90,000–$150,000 — better value if payload requirements are under 30 kg.

Q: Research & Development / Academic Labs

Best value: Unitree G1 at $13,500 base. With 23–43 DOF depending on configuration, confirmed CES 2026 commercial shipments, and a Robot-as-a-Service option for global deployment, the G1 offers the most accessible entry point into full-body humanoid research. Its IPO filing adds institutional credibility. The $372/DOF ratio is unmatched among shipping platforms.

Q: Home & Consumer Applications

Best positioned: 1X NEO at $20,000 or $499/month. As the only humanoid robot in this dataset explicitly designed for home use with confirmed 2026 consumer deliveries, NEO occupies an uncontested category. The teleoperation-first learning model addresses the autonomous capability gap honestly — a point recent coverage has flagged critically, but which represents a pragmatic deployment strategy rather than a fundamental flaw.

Q: High-Dexterity Assembly & Precision Tasks

Best positioned: Figure 03, pending commercial availability. Its 44 full-body DOF, 16 DOF per hand, 20 kg payload, and sub-$20,000 price target — backed by 250,000 packages processed in real retail deployments — make it the most compelling specification set in the dataset. The constraint is availability: listed as not-available with no confirmed ship date. The June 2026 Figure 02 Series Production Launch rumor suggests Figure 03 commercial availability remains further out.

Last updated: 2026年5月31日 --- [

Why Raw Specs Don't Tell the Full Story — But They're the Right Starting Point 为什么原始规格参数不能说明全部情况——但它们是正确的起点

With more than a dozen humanoid robots now commercially available, in pre-order, or entering mass production by mid-2026, procurement teams and research institutions face a genuinely complex buying decision. Price tags alone span from 截至2026年中期，已有超过十几款人形机器人实现商业化销售、开放预订或进入量产阶段，采购团队和研究机构面临着真正复杂的购买决策。仅价格就涵盖 $1,400 (Noetix Bumi) to an estimated 到预计 $170,000 (Fourier GR-1) — a 120x range. But headline price obscures the real question: what are you actually buying per dollar? This analysis cuts through the noise by applying derived metrics — price per degree of freedom, payload-to-weight ratio where data allows, and deployment-readiness score — to identify where specifications translate into measurable real-world advantage. ——120倍的差距。但标称价格掩盖了真正的问题：您每花费一美元实际买到的是什么？本分析通过应用衍生指标——每自由度价格、负载与重量比（数据允许的情况下）以及部署就绪度评分——来剔除干扰信息，找出哪些规格能够转化为可衡量的实际优势。 I'll calculate the cost per degree of freedom as a key efficiency benchmark. This metric allows comparison across different robotic platforms by normalizing their complexity and capability. It's a useful way to understand the value proposition of each robot, revealing how much mechanical versatility you're getting for your investment. The next thinking provides specific price and DOF data for various robots, showing significant variations in cost efficiency. I'll translate this carefully to maintain the technical details and comparative analysis.

Price Per Degree of Freedom: The Efficiency Baseline

Degrees of freedom (DOF) represent mechanical versatility — the number of independent axes a robot can move. More DOF generally enables more human-like dexterity, though integration quality matters enormously. Using available price and DOF data, we can calculate a rough cost-per-DOF benchmark across the market.

人形机器人的问题所在 — Marques Brownlee ---

XPENG IRON ---: ~$150,000 estimated / 82 active DOF = ~$1,829 per active DOF 约1,829美元/活动自由度 (200 total DOF if passive joints included drops this to ~$750) （含被动关节共200自由度时降至约750美元）
Fourier GR-2 Fourier GR-2: ~$160,000 midpoint / 53 DOF = ：约160,000美元（中间价位）/53自由度= ~$3,019 per DOF 约3,019美元/自由度
Figure 03 ---: Target below $20,000 / 44 DOF = ：目标价低于20,000美元/44自由度= under $455 per DOF 低于455美元/自由度 — the most compelling ratio among capable full-body platforms, if the price target holds at scale ——如果在规模化生产下价格目标能够实现，这将是全尺寸人形平台中最具吸引力的比率
Tesla Optimus Gen 2 → Tesla Optimus Gen 2: $25,000 midpoint / 28 DOF = ：25,000美元（中间价位）/28自由度= ~$893 per DOF 约893美元/自由度
Unitree G1 ---: $16,000 standard / 43 DOF (max config) = ：标准版16,000美元/43自由度（最高配置）= ~$372 per DOF 约372美元/自由度 — the best ratio among currently shipping robots ——当前已发货机器人中的最佳比率
AgiBot A2 Max AgiBot A2 Max: 67 DOF — the highest DOF count of any robot in this dataset — but enterprise-only pricing makes per-DOF cost impossible to calculate publicly ：67自由度——该数据集中任意机器人的最高自由度数量——但仅对企业客户的定价策略使其无法公开计算每自由度成本
1X NEO ---: $20,000 / 12 DOF (arms + hands only) = ：20,000美元/12自由度（仅双臂+双手）= ~$1,667 per DOF 约1,667美元/自由度, though its home-use design context makes direct comparison with industrial platforms misleading ，但考虑到其家用设计定位，与工业平台的直接比较容易产生误导

The Unitree G1's $372/DOF at standard pricing is a structurally disruptive figure. It explains why the platform dominates academic lab and innovation unit procurement — CES 2026 shipments confirmed this trajectory directly. Figure 03's sub-$455/DOF target, if achieved at commercial scale, would represent the most capable industrial-grade platform at consumer-adjacent pricing — a combination that has never existed in this market before. The $372/DOF cost for the Unitree G1 represents a market-disrupting pricing model. Its affordability explains the widespread adoption in research laboratories and innovation centers, with CES 2026 shipments further validating this trend. If the Figure 03 can achieve its sub-$455/DOF target at commercial scale, it would introduce an unprecedented combination of industrial-grade performance at consumer-friendly pricing.

Payload Analysis: Where Industrial Deployments Live or Die 有效负载分析：工业部署成败的关键

Payload capacity is the single most important spec for manufacturing and logistics applications. A robot that cannot lift a car door panel, carry a parts bin, or manage warehouse inventory at meaningful weight thresholds cannot justify its position on a factory floor. Payload capacity is critical for manufacturing and logistics. Robots unable to lift car door panels, transport parts bins, or manage warehouse inventory at significant weight thresholds lack justification for factory floor deployment.

Fourier GR-1/GR-2 Fourier GR-1/GR-2 ：40千克：数据集中的最高披露数据，远超其他平台: 40 kg payload — the highest disclosed figure in the dataset by a significant margin ——数据集内显著领先的最高披露数值
Unitree H1/H1-2 → Unitree H1/H1-2: 30 kg carry at a price of $90,000–$150,000 ，定价90,000至150,000美元
Apptronik Apollo ---: 25 kg at enterprise contract pricing ，按企业合同价格计算
Figure 03 ---: 20 kg total carry — notable given its sub-$20,000 price target ——考虑到其低于20,000美元的目标价格，这一点值得关注
Agility Robotics Digit ---: 16 kg carry at ~$250,000 purchase equivalent ，折合约250,000美元的采购成本
Tesla Optimus Gen 2 → Tesla Optimus Gen 2: 9 kg per hand — lower absolute payload but exceptional per-hand precision relevant for assembly tasks ——绝对有效负载较低，但每手的精确度出众，与装配任务相关
UBTECH Walker S1/S2 → UBTECH Walker S1/S2: 8 kg per arm
Unitree G1 ---: 3 kg per arm — sufficient for light manipulation research, insufficient for most industrial material handling ——足以进行轻量级操作研究，但无法满足大多数工业物料搬运需求

The Fourier GR-1's 40 kg payload at $150,000–$170,000 delivers the strongest payload-per-dollar among fully disclosed platforms — approximately Fourier GR-1在150,000至170,000美元价位提供的数据集中全披露平台中最佳的每美元有效负载——约 0.24–0.27 kg per $1,000 spent. By comparison, Agility Robotics Digit delivers 相比之下，Agility Robotics Digit提供 0.064 kg per $1,000 at its $250,000 RaaS-equivalent price point, making it the least efficient payload investment in the dataset. Digit's competitive moat lies elsewhere — in its proven enterprise deployment track record and software stack, not raw lifting capacity. 在250,000美元的RaaS等效价格下，使其成为数据集中有效负载投资效率最低的选择。Digit的竞争优势在于其他方面——在于其经过验证的企业部署业绩和软件堆栈，而非原始举升能力。

Hand Dexterity: The Emerging Differentiator for 2026 手部灵活性：2026年新兴的差异化因素

Hand DOF is increasingly where manufacturers compete. The ability to manipulate small components, handle irregular objects, and perform assembly tasks requiring finger-level precision separates general-purpose humanoids from specialized arms. Manufacturers are now intensely focusing on hand degrees of freedom. Mastering small component manipulation, irregular object handling, and precision assembly tasks that demand finger-level accuracy distinguishes versatile humanoid robots from specialized mechanical arms.

Figure 03 ---: 16 DOF per hand 每手16自由度 — the highest disclosed hand DOF in the dataset ——数据集中披露的最高单手自由度
Tesla Optimus Gen 2 → Tesla Optimus Gen 2: 11 DOF per hand 每手11自由度, with 28 DOF total across the full body — meaning hands account for ，共全身28自由度——意味着双手占据 79% of total robot DOF 全身自由度的79%, a clear design philosophy signal toward manipulation-first architecture ，这清晰地表明其设计理念以操作为先的架构
UBTECH Walker S1/S2 → UBTECH Walker S1/S2: 11 DOF per hand 每手11自由度, 7 DOF per arm ，7自由度/臂
AgiBot A2 Max AgiBot A2 Max: 67 total DOF suggests highly articulated hands, though per-hand breakdown is not publicly disclosed ：67总自由度表明手部高度灵活，但具体每手自由度分布未公开披露

Tesla's design approach prioritizes hand capabilities within its Gigafactory environment, emphasizing precise component handling over complex whole-body movement. The 16 DOF per hand design demonstrates operational effectiveness, with real-world performance metrics like processing 250,000 packages and maintaining 200+ hour continuous runtime without failure highlighting its practical value beyond laboratory demonstrations.

Best Value by Use Case 按应用场景的最佳价值选择

Industrial Manufacturing & Logistics 工业制造与物流

Best value: Fourier GR-1/GR-2 最佳价值选择：Fourier GR-1/GR-2 在40千克有效负载和150,000至170,000美元的价格下。对于汽车或仓储环境中的重型物料搬运，暂无其他已披露规格的平台能在可比价格内匹配此有效负载。GR-2的53自由度增加了多功能性。据传将于2026年6月实现量产，这将显著改善交付时间。次选： at 40 kg payload and $150,000–$170,000. For heavy material handling in automotive or warehousing contexts, no other platform with disclosed specs matches this payload at this price. The GR-2's 53 DOF adds versatility. Mass production is rumored for June 2026, which would significantly improve delivery timelines. Runner-up: 在40千克有效负载和150,000至170,000美元的价格下。对于汽车或仓储场景的重型物料搬运，暂无其他已披露规格的平台能够在同等价格下匹配此有效负载。GR-2的53自由度提升了多功能性。传 Unitree H1/H1-2 → Unitree H1/H1-2 at 30 kg for $90,000–$150,000 — better value if payload requirements are under 30 kg. 30千克有效负载的90,000至150,000美元——如果有效负载需求低于30千克，则是更佳的选择。

Research & Development / Academic Labs 研发/学术实验室

Best value: Unitree G1 最佳价值选择：Unitree G1 ，以13,500美元的基础价格为研究机构提供了最具成本效益的人形机器人解决方案。其规格和商业可用性使其在机器人生态系统中独树一帜。 at $13,500 base. With 23–43 DOF depending on configuration, confirmed CES 2026 commercial shipments, and a Robot-as-a-Service option for global deployment, the G1 offers the most accessible entry point into full-body humanoid research. Its IPO filing adds institutional credibility. The $372/DOF ratio is unmatched among shipping platforms.

Home & Consumer Applications 家庭与消费应用 The NEO represents a unique market offering as the sole humanoid robot designed for home use with confirmed 2026 consumer deliveries. Its teleoperation-first learning approach addresses autonomous capability gaps honestly, presenting a pragmatic deployment strategy rather than a fundamental design flaw. Potential buyers should carefully assess its specifications against personal requirements and budget constraints.

Best positioned: 1X NEO 最佳定位：1X NEO ，定价20,000美元或499美元/月。作为本数据集中唯一专为家庭使用设计并确认2026年向消费者交付的人形机器人，NEO占据了一个无竞争的细分市场。优先考虑远程操作的学习模式诚实地应对了自主能力差距——近期报道对此提出了批评，但这实际上代表了一种务实的部署策略，而非根本性缺陷。 at $20,000 or $499/month. As the only humanoid robot in this dataset explicitly designed for home use with confirmed 2026 consumer deliveries, NEO occupies an uncontested category. The teleoperation-first learning model addresses the autonomous capability gap honestly — a point recent coverage has flagged critically, but which represents a pragmatic deployment strategy rather than a fundamental flaw.

High-Dexterity Assembly & Precision Tasks 高灵巧性装配与精密任务 The Figure 03 stands out as the most compelling option pending commercial availability. Its impressive technical specifications include 44 full-body degrees of freedom, 16 per hand, 20 kg payload, and a sub-$20,000 target price. Real-world validation through processing 250,000 packages in retail deployments demonstrates its potential. However, the critical constraint remains its current unavailability and lack of confirmed ship date.

Best positioned: Figure 03 最佳定位：Figure 03 （待商业化供货）。其44全身自由度、每手16自由度、20千克有效负载以及低于20,000美元的目标价格——加上在真实零售部署中处理的250,000个包裹里程碑——使其成为数据集中最引人注目的规格组合。限制因素是供货情况：列为不可用，且无确认的发货日期。, pending commercial availability. Its 44 full-body DOF, 16 DOF per hand, 20 kg payload, and sub-$20,000 price target — backed by 250,000 packages processed in real retail deployments — make it the most compelling specification set in the dataset. The constraint is availability: listed as not-available with no confirmed ship date. The June 2026 Figure 02 Series Production Launch rumor suggests Figure 03 commercial availability remains further out.

Where Specs Don't Capture Real-World Advantage 规格无法捕捉实际优势之处

Boston Dynamics Atlas discloses neither payload nor DOF publicly, yet it holds the most significant enterprise deployment validation in the dataset: first humanoid deployed at Hyundai's Metaplant Georgia, with autonomous battery self-swapping and full material handling operations. Its six-figure enterprise-only pricing reflects software maturity and deployment support infrastructure that no spec sheet quantifies. Similarly, Agility Robotics Digit's scale-up at BMW's Spartanburg plant in February 2025 demonstrated multi-unit humanoid operations in high-volume automotive manufacturing — a capability milestone that justifies its premium despite underwhelming payload-per-dollar metrics. Boston Dynamics Atlas maintains strategic ambiguity by not publicly disclosing payload or degree of freedom specifications. Nevertheless, it has achieved a critical enterprise deployment milestone by becoming the first humanoid robot operational at Hyundai's Metaplant Georgia, autonomously swapping batteries and managing comprehensive material handling. Its premium enterprise pricing - spanning six figures - signals advanced software sophistication and comprehensive deployment support infrastructure that transcend traditional specification sheets. In parallel, Agility Robotics Digit represented a significant leap in multi-unit humanoid robot implementation at BMW's Spartanburg facility in February 2025, demonstrating large-scale automotive manufacturing capabilities.

At the opposite end, 反观另一端， XPENG IRON's 82 active / 200 total DOF XPENG IRON的82活动自由度/200总自由度 figure is the most technically ambitious specification in this entire dataset — but with mass production only beginning in 2026 and an estimated $150,000 price point, real-world validation data remains limited to internal XPENG factory deployments. The spec is extraordinary; the deployment track record is nascent. Procurement teams should weight these factors accordingly. 这一数据是整个数据集中技术规格最为雄心勃勃的——但由于量产仅在2026年开始且预计价格为150,000美元，真实世界的验证数据仅限于XPENG内部工厂部署。规格令人印象深刻，但部署履历尚处于起步阶段。采购团队应相应地权衡这些因素。

Key Derived Metrics Summary 关键衍生指标摘要

Lowest cost per DOF (shipping now): 每自由度成本最低（现已发货）： Unitree G1 at ~$372/DOF Unitree G1约372美元/自由度
Lowest cost per DOF (target pricing): 每自由度成本最低（目标价仅供参考）： Figure 03 at under $455/DOF Figure 03低于455美元/自由度
Highest payload-to-price efficiency: 有效负载与价格效率比最高： Fourier GR-1/GR-2 at ~0.25 kg per $1,000 Fourier GR-1/GR-2约0.25千克/1,000美元
Highest absolute payload: 绝对有效负载最高： Fourier GR-1/GR-2 at 40 kg Fourier GR-1/GR-2，40千克
Highest DOF count (disclosed): 自由度数量最高（已披露）： AgiBot A2 Max at 67 DOF; XPENG IRON at 82 active DOF AgiBot A2 Max，67自由度；XPENG IRON，82活动自由度
Strongest deployment validation relative to specs: 相对于规格的实际部署验证最强： Boston Dynamics Atlas and Figure 03 Boston Dynamics Atlas和Figure 03
Best consumer value: 最佳消费价值： 1X NEO at $20,000 with confirmed 2026 deliveries 1X NEO，20,000美元，确认2026年交付

The humanoid robot market in mid-2026 is not yet a commodity market — specifications vary enormously, transparency is inconsistent, and deployment validation remains the most reliable proxy for real-world capability. Use derived metrics as a screening tool, not a procurement decision. The robots with the best specs on paper are not always the robots delivering measurable output on factory floors today. 截至2026年中期，人形机器人市场尚未成为商品市场——规格参数差异巨大，透明度参差不齐，部署验证仍然是真实世界能力最可靠的指标。将衍生指标作为筛选工具，而非采购决策依据。纸面规格最佳的人形机器人并非总是如今在工厂车间中能够交付可衡量产出的机器人。

Compare full specifications side-by-side for every robot in this analysis at 在此处并排比较本分析中每款机器人的完整规格 </think> HumanoidApplications.com/compare/ ---，或浏览完整的机器人目录。 --- HumanoidApplications.com/robots/ ---.