新的研究摘要目前以英文提供，并附有原始来源链接。

CASE STUDIES / ROBOTICS IN PRACTICE

Real robots.
Specific work.

Explore how robots are being used in factories, warehouses, schools and research. See the task, the evidence and what made each project work.

Explore the case studies Plan a robot internship ↗

Evidence reviewed 22 September 2026

AGIBOT G2 · product image

Inside the Longcheer case

07brand case studies

06brands explored

03types of evidence

Independent editorial summaries of third-party projects. These are not ROBODROMO installations or endorsements. Reported results belong to the specific configuration and conditions described.

FEATURED / AGIBOT × LONGCHEER

From robot body to useful work.

A G2 robot, a tablet-testing task and a jointly developed production process. See what the manufacturer and customer actually report.

Inside the Longcheer case ↗

310tablets/hour · up to, reported by AGIBOTAGIBOT · 15 April 2026

01 / AGIBOTProduction use reported

AGIBOT G2

Tablet testing, on a working production line.

Longcheer · Nanchang, China

G2 robots load and unload tablet test stations, then sort the tested devices. Longcheer confirms the move into its production lines.

310tablets/hour · up to, reported by AGIBOT

AGIBOT, 15 April 2026 · customer follow-up, 24 April 2026

Read the evidence

Reported result: AGIBOT reports up to 310 units per hour, over 99.9% task success and more than 140 cumulative operating hours. The release also reports 36-hour line integration after a four-month development programme. These are separate measures, not a single timed trial.
What the project needed: The customer contributed its production process and test equipment. AGIBOT supplied G2 robots and task software; the teams developed the integration together.
What this does not establish: Manufacturer-reported figures, not an independent audit. Public raw logs, exact intervention rates and full project cost are unavailable. A standard G2 order does not include this completed workstation.

For your project

Plan the test fixtures, equipment interfaces and exception handling alongside the robot.

Pick tablet
Load test fixture
Sort by result

Original sources

02 / UnitreeResearch experiments

Unitree G1 manufacturer product image; research configuration may differ — Manufacturer product image · not the installation

Unitree Go2 + G1

Finding objects across unfamiliar rooms.

Carnegie Mellon University · USA

CMU describes an object-navigation system tested on Go2, G1 and a custom wheeled robot. The software separates reasoning, route planning and motion control.

190real-world experiments · across three robot platforms

CMU thesis presentation · 11 September 2026

Read the evidence

Reported result: The university reports 190 real-world experiments across the system and navigation that was four to five times more efficient than its research baselines. The abstract does not give a separate success rate or trial count for each robot.
What the project needed: Researchers supplied the navigation and vision-language software. Robot-specific movement control sits beneath shared planning and reasoning.
What this does not establish: Research results, not an installed warehouse service or a standard Unitree feature. The comparison is with research baselines, not human workers. Edition, additional hardware and commercial support require confirmation.

For your project

Choose development access and a technical team around the task you want to build.

Identify target
Plan across rooms
Move to the object

Original sources

CMU project abstract · 11 Sep 2026 ↗

03 / UnitreeUniversity integration

Unitree Go2

A Go2 becomes a research platform.

University of Southampton · UK

Southampton documents its own Go2 setup, including ROS 2 control and a successfully integrated Intel RealSense D435i depth camera.

ROS 2documented control and camera integration

University operating guide · undated; checked 22 September 2026

Read the evidence

Reported result: The guide identifies a working camera integration and both Wi-Fi and Ethernet control routes. It also records that a separate Livox MID-360 integration was unfinished when documented.
What the project needed: The university configured its robot around ROS 2 Foxy and published operating instructions for researchers. This is evidence of practical use and integration work.
What this does not establish: No commercial inspection results, operating-hour total or cost saving is reported. This historical software setup is not a recommendation to adopt the same version today, or proof of compatibility with every Go2 edition.

For your project

Budget for setup, access, compatible sensors and someone who owns the software configuration.

Connect robot
Integrate sensors
Run research software

Original sources

04 / JDWarehouse operation reported

Bring goods to people
Pick and consolidate
Dispatch orders

JD Logistics warehouse system

Goods-to-person fulfilment in Europe.

Hunkemöller · Venray, Netherlands

JD describes a Dutch fulfilment operation serving Hunkemöller, using mobile robots, robotic arms, storage and warehouse software together.

12,000m² warehouse · reported by JD

JD Logistics · 10 November 2021; follow-up 8 April 2022

Read the evidence

Reported result: JD reported a 12,000 m² warehouse and estimated that average daily order production time had fallen by two-thirds. Its 2022 account confirms goods-to-person AGVs supporting business and consumer orders.
What the project needed: JD provided the warehouse operation and integrated automation. Hunkemöller supplied the retail fulfilment requirement. The result concerns the complete facility.
What this does not establish: A historical supplier report, not a 2026 operating audit. The estimated time saving is not an independently verified productivity or headcount saving. The sources do not identify today’s Auto Sorting Wall or Tote Handling Solution as the installed models.

For your project

Start with order profiles, layout and the required workflow before choosing individual machines.

Bring goods to people
Pick and consolidate
Dispatch orders

Original sources

05 / DOBOTProduction use reported

Handle the glass
Rotate separately
Feed decoration process

DOBOT CR10A / two-cobot cell

Two cobots share a glass-handling task.

SAHM Glasveredelung · Germany

Integrator MS Electronics redesigned SAHM’s glass-decoration handling around two cobots. A CR10A handles the glass; a second cobot performs rotation.

2cobots · handling and rotation split between them

DOBOT customer case · undated; checked 22 September 2026

Read the evidence

Reported result: DOBOT says the revised cell met the required cycle time and completed site acceptance and commissioning within a few days. It does not publish the cycle time, reject rate or payback.
What the project needed: MS Electronics designed and integrated the cell. The project included factory acceptance testing before installation at SAHM’s production site.
What this does not establish: This is an industrial-arm case, not evidence that the LUMO humanoid can perform the task. The second robot’s exact model is not identified in the account. Numerical productivity gains are not supplied.

For your project

Splitting a task between specialised machines may work better than asking one robot to do everything.

Handle the glass
Rotate separately
Feed decoration process

Original sources

DOBOT / SAHM case report · undated ↗

06 / MikoSchool use reported

Miko 3

Miko 3 joins the learning routine.

Primary School Savremena · Serbia

Savremena describes Miko 3 as part of its educational robot programme, with conversation, quizzes and learning activities alongside other classroom tools.

Miko 3named by the school in its teaching approach

School account · undated; checked 22 September 2026

Read the evidence

Reported result: The school’s own account identifies the robot and how it is intended to support pupils. It does not publish a controlled learning study, attainment results or a verified number of robots in use.
What the project needed: Teachers and the school provide the learning context. The school describes Wi-Fi-connected interaction and links to its teaching materials.
What this does not establish: School-reported adoption, not proof of improved intelligence, wellbeing or exam results. Any local curriculum integration must be checked separately; it is not a standard feature promised with a UK Miko 3 purchase.

For your project

Choose a supervised learning activity first, then check content, connectivity and the school’s data requirements.

Choose an activity
Interact and practise
Teacher reviews use

Original sources

07 / LUWUPublished real-robot experiments

Interpret in cloud
Validate locally
Move and check

LUWU XGO-Rider

Cloud instructions. Local movement.

Chen and colleagues · Robotics and Autonomous Systems

Researchers tested an XGO-Rider with a cloud language model, local command checks and bounded movement actions. The paper separates the AI service from the robot’s control.

17.47 smean voice-to-feedback delay · 20 interactions

Research article online · 10 September 2026

Read the evidence

Reported result: The abstract reports 17.47 ± 2.72 seconds of interaction latency (20 trials). In a matched 100-scenario comparison, task success was 90%, versus 78% for a detector-and-controller baseline.
What the project needed: The research combines cloud speech and language services, visual detection, a local validator and the manufacturer’s movement SDK.
What this does not establish: Results describe a custom research system. The delay is not the motor-control period. They do not establish commercial uptime, offline capability or superiority to trained robot policies. Evidence checked from the publisher’s abstract, not a reproduced experiment.

For your project

Ask where decisions run and what happens when the network slows down. These details affect the experience as much as the robot body.

Interpret in cloud
Validate locally
Move and check

Original sources

Published research abstract · 10 Sep 2026 ↗

CASE STUDIES / ROBOTICS IN PRACTICE

A good case study answers four questions.

What was the task?

A specific job, with a defined start and finish.

What was added?

The software, tools, site changes and people behind it.

What was measured?

Units, periods and the organisation reporting the result.

What is still unknown?

Costs, interventions and conditions that need checking.

WIDER INDUSTRY / EXISTING REFERENCES

More lessons from the field.

Keep the robot and generation in view. These wider examples help explain deployment; they are not products promised by ROBODROMO.

Skild AI × NVIDIA × Foxconn

01 / Skild AI × NVIDIA × Foxconn

报告的就业情况

组成布莱克韦尔系统

NVIDIA · 10 9月(半天会议) 2026

集会演示, NVIDIA. 相关报告提供了项目背景。观看源片 ↗

职位构成部分
紧身 16 螺丝
处理扰动

谁带来了什么: Skild提供机器人智能; NVIDIA 提供人工智能基础设施和机器人工具; Foxconn 提供制造环境。报告描述了双臂操纵器,但没有命名其制造商.
他们开发的东西: 设置总线栏和限制块的序列, 紧贴 16 螺丝和应对组装过程中的扰动.
证据所言: NVIDIA 报告协作情况并显示组装工作流程。 Skild还用自己的账户来描述部署情况.
规划一个类似的项目: 对于类似的安装,应商定持续周期时间、预期人力干预和全部运营费用,作为项目评估的一部分。

给您的项目上课

一个有能力的机器人身体需要任务软件,工具和一个可以一起测试的过程.

阅读原始报告 ↗

Agility 机器人学 × GXO

03 / Agility 机器人学 × GXO

商业就业

移动到已有的工作流程中

GXO · 27 6月(半天) 2024; 以后再说 Agility 更新

Agility 部署影片。业务背景见相关报告并报告结果。观看源片 ↗

接收图组
升降和转让
放在传送器上

谁带来了什么: GXO 在SPANX设施提供仓库工作流程。 Agility 提供 Digit 和它的Arc车队管理平台根据机器人服务协议。
他们开发的东西: 从移动机器人到传送器的图案转移,通过Arc与网站现有的自动化相连接.
证据所言: 商业协议随后是 2023 飞行员。 Agility 后来的报告多于 100,000 已移动的totes at GXO(原始内容存档于2018-09-21). The Flowery Branch facility.
规划一个类似的项目: 对于您的仓库,根据现有工作流程评估每个已接受的吨数的成本、干预率和绩效。这些措施不是用累计数来提供的。

给您的项目上课

从现有进程之间的一次交接开始,并衡量其运作是否可靠。

阅读原始报告 ↗

Figure × BMW 组

04 / Figure × BMW 组

完成生产试验

用于焊接的定位金属部件

BMW · 3月回顾; 6月(半天) 2026 后续行动

获取一部分
固定位置中
交接焊接

谁带来了什么: BMW 提供了生产工艺和工厂团队。 Figure 提供 Figure 02 并与之合作过 BMW 在申请中。
他们开发的东西: 在斯巴丹堡工厂回收和定位薄板-金属组件进行焊接,安全安排和工厂连通性也有所改变.
证据所言: BMW 报告结束 90,000 处理的组件 : 1,250 工作期间的工作时间 2025 飞行员。这些数字说明了该试点人员的情况,并非每个 Figure 机械人。
规划一个类似的项目: 这是一个专门的项目与 BMW 和 Figure 工程队. 你的任务需要自己的设备,整合,支持和商业评估.

接下来发生了什么?

6月的时候 2026, BMW 说,发现来自 Figure 02 构成新的 Figure 03 后勤项目。继任者拥有不同的硬件和能力; 学习在机器人的几代人中持续进行。

读取 BMW 6月时 2026 更新 ↗

重点突出的第一个项目可以为下一个项目建立网站和任务知识。这是及早学习的理由,而不是对未来储蓄的保证。

阅读原始报告 ↗

ROBODROMO / YOUR NEXT STEP

What could a first project prove for you?

Start with one useful task. We can help shape the brief and identify a supplier or technical partner. Agree the equipment, support and success measures before committing to a trial.

Plan a robot internship ↗Explore robots ↗Explore finance ↗