Figure为将 AI 驱动的劳动力融入真实工作场景而打造的人形机器人。

5.0 (6)

审阅者 Daniel Nikulshyn·更新 2026年7月

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概览

Figure 研发通用型人形机器人，旨在承担商业及工业环境中的物理任务。其机器人集双足行走、灵巧操控以及机载 AI 模型于一体，使其能够感知周围环境、遵循自然语言指令，并通过示范学习。该公司针对持续面临人力短缺的行业，如制造业、物流业和仓储业，将其人形机器人定位为可灵活使用的工人，能够跨多项任务部署，而非专门执行单一功能。Figure 已与大型企业合作，在实际运营环境中试点其机器人。持续开发的重点是提升自主性、安全性以及驱动感知与决策的基础模型，整体目标是将类人机器人推向更广泛的商业应用，并最终进入家庭使用。

主要功能

双足人形外形
灵巧的双手操作
内置 AI 视觉与语言模型
通过人类示范学习
面向仓储与制造任务设计
企业试点合作伙伴关系

价格

模型: Freemium
分类: AI Agents
评分: 5.0 / 5 (6)

使用场景

仓库物料搬运

部署人形机器人在仓库中搬运、分拣和堆放货物，帮助运营商通过可在任务间切换的灵活工人来缓解劳动力短缺。

制造生产线支持

将机器人集成到制造环境中，执行重复性的体力任务，利用灵巧的双手操作和内置视觉适应实时生产线。

通过示范进行任务训练

通过让人类操作员示范任务来教授新工作流程，使机器人 AI 模型在无需为每个功能编写专用程序的情况下学习行为。

自然语言任务分配

使用口头或书面指令指挥机器人，使一线主管能够在无需专业机器人知识的情况下分配和调整工作。

优点 & 缺点

优点

通用硬件，可适配多种任务
获得大型工业试点部署的支持
融合视觉、语言和运动控制
针对真实的劳动力短缺问题

缺点

未作为现成商品提供
企业级成本高且需要集成
早期阶段的实际可靠性有限
公众技术访问受限

评测

5.0

6 个评分的平均值。

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Victor Nguyen

May 18, 2026

Solid for our team

We rolled this out across the team last quarter and targets real labor shortage problems. Learning from human demonstration fits neatly into how we already work, and onboard AI vision and language models removed a step we used to do by hand. Not available as an off-the-shelf product, which is the main caveat, but it has held up under daily use.

Kwame Mensah

Jan 15, 2026

Does the job

Pretty happy overall. Bipedal humanoid form factor just works and targets real labor shortage problems. but no dealbreakers — I'd recommend it to a friend without hesitating.

Linda Petersen

Nov 4, 2025

Does the job

Pretty happy overall. Bipedal humanoid form factor just works and combines vision, language, and motor control. Enterprise-scale cost and integration can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Rina Desai

Nov 1, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on learning from human demonstration, and general-purpose hardware adaptable to many tasks caught me off guard. still, I'd recommend giving it a real trial.

Tomáš Novák

Oct 28, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: designed for warehouse and manufacturing tasks and general-purpose hardware adaptable to many tasks. On balance the feature set — especially learning from human demonstration — justifies the 5 stars for our use case.

Devin Walker

Sep 19, 2025

Does the job

Pretty happy overall. Learning from human demonstration just works and combines vision, language, and motor control. Enterprise-scale cost and integration can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.