Orbbec Secures Major Robotics Hardware Supply Deal

Orbbec will supply 10,000 units of specialized camera hardware to ACE Robotics for its AI development.

Updated on Oct. 31, 2026 in Robotics

Bold flat-color editorial illustration of a robotic camera sensor assembly, depicting advanced hardware infrastructure for AI model training.
Orbbec has signed a strategic procurement agreement to provide ACE Robotics with 10,000 units of specialized camera hardware for AI development. AI Illustration. Upload story photo >

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Orbbec has signed a strategic procurement agreement to provide ACE Robotics with 10,000 units of depth cameras, RGB cameras, and non-embodied data-acquisition hardware. This partnership aims to accelerate the training and refinement of embodied AI models.

Why it matters

The collaboration enables ACE Robotics to scale its data collection and model training efforts by integrating specialized Orbbec hardware into its existing world model frameworks. This infrastructure is essential for improving the accuracy and capabilities of robots operating in hotels, retail, and inspection environments.

Orbbec will provide its EGO, UMI, WristCam, and Hub hardware platforms to support ACE Robotics' Kairos 3.1 open-source world model. The hardware is designed to integrate into environmental data-collection frameworks used in retail and inspection scenarios.

The players

Orbbec

Orbbec is a hardware provider specializing in depth sensing and data-acquisition technology for robotic systems.

ACE Robotics

ACE Robotics is an artificial intelligence firm focused on developing and deploying embodied robotic solutions.

The details

Orbbec will handle manufacturing, customization, and software integration for the hardware units. The equipment will support ACE Robotics' existing Xiaoxin, Xiaoman, and Xiaotu solutions, which are currently deployed in various service and industrial sectors.

Timeline

  1. October 31, 2026: Announcement date for the procurement agreement.

The Tech Race

The integration of dedicated sensing hardware into the Kairos 3.1 open-source world model signals a transition toward more standardized data-collection pipelines in embodied AI. This move positions the partnership to accelerate the development of autonomous systems compared to firms relying on fragmented sensor sets.

As ACE Robotics scales its deployments in hotels and retail stores, users may interact with more reliable and autonomous service machines. The refinement of these AI models through improved data collection will likely result in robots that are better at navigating public environments.

The takeaway

Reliable hardware supply chains are increasingly critical for companies attempting to train complex embodied AI systems at scale. Businesses in the sector should prioritize vertical integration to ensure that their data-collection tools remain consistent as they expand operations.

Further reading

For broader trends in machine perception and autonomous systems, visit the Robotics section.

Source note: This article includes information reported by Gasgoo.

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Do you trust that the increasing use of embodied AI robots in public spaces is beneficial?