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Aitek Visual Infrastructure Redefines Robot Perception in Physical AI Era

Aitek Visual Infrastructure Redefines Robot Perception in Physical AI Era

July 8, 2026
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Aitek Visual Infrastructure Redefines Robot Perception in Physical AI Era

As artificial intelligence moves from the digital realm into real physical spaces, Physical AI has become a major frontier in global technology. A critical bottleneck for large model applications is enabling robots to see and perceive the physical world. Orbbec, a leading Chinese 3D vision company, addresses this challenge with its full-stack technology matrix, positioning itself as a visual infrastructure provider for the Physical AI era.

1. Strategic Shift: From Hardware Vendor to Industrial Middle Platform

Unlike traditional component suppliers, Orbbec defines itself as a physical AI and robot vision industrial middle platform. Its core mission is to deliver perception-as-a-service foundational capabilities for Physical AI devices, moving beyond the constraints of isolated hardware.

Perception Base: Provides eyes for embodied intelligence, service robots, and industrial robots, enabling obstacle avoidance, navigation, and precise operations in complex environments.

Bridging Physical and Digital: Builds a full-stack technology matrix covering chips, algorithms, and optical mechanisms, solving the challenge of autonomous control in perception hardware and lowering the barrier for developers to adopt high-precision 3D vision through full-stack solutions.

2. Deep NVIDIA Partnership: Closing the Gap Between Reality and Simulation

Through deep ecosystem collaboration with NVIDIA, Orbbec supplies the essential data foundation for training Physical AI:

Simulation Integration: The Gemini series stereo structured light cameras are integrated into the NVIDIA Isaac Sim simulation platform, providing physically accurate sensor models that dramatically reduce the iteration cycle from simulation testing to real-world deployment.

Hardware Compatibility: Its 3D vision products are fully compatible with the NVIDIA Jetson Thor system-on-module (the core computing power for embodied intelligence), enabling a complete workflow from perception input to computational decision-making.

Perception Integration: Integrated with NVIDIA Isaac Perceptor, it delivers high-performance autonomous navigation and environmental perception for robots.

3. Data Foundation: The Digital Twin Gateway to the Physical World

Physical AI evolution depends on massive amounts of real-world 3D data. With high-precision 3D scanning, Orbbec provides the core data fuel for building world models:

3D Anchors: Using high-precision 3D scanning, it digitally models the physical constraints and geometric structures of the real world, offering anchors for world model training.

Scalable Delivery: Relying on dual production bases in Shunde (smart manufacturing base) and Vietnam (overseas OEM/supply chain), Orbbec has achieved mass production of millions of 3D vision sensors and hundreds of thousands of robot terminals, ensuring a reliable supply of both data and hardware for global Physical AI deployment.

4. Industry Applications: The Standard Configuration for Physical AI

Today, Orbbec's 3D vision solutions are widely adopted across multiple core scenarios, becoming the go-to choice in the industry:

SectorKey Customers & PartnersUse CasesService RobotsPudu, Gaozhong, Gaosun, and others. Delivery, cleaning, and autonomous obstacle avoidance and navigation.Humanoid RobotsZhiyuan, UBTech, Yujin, and others. Environmental perception and complex precise operations.High-End ManufacturingStanley, Universal Robots UR, and others. Industrial 3D measurement and mobile robot navigation.

Conclusion

In the Physical AI era, Orbbec is not just manufacturing visual sensors — it is building an infrastructure that supports embodied intelligence development. By closing the loop from real-world data collection to simulation training to physical execution, Orbbec is embedding visual perception as a key component into the global Physical AI landscape.

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