Ouster Launches Stereolabs ZED X Nano: A Wrist-Mount Stereo Camera Built for Robotic Manipulation and Physical AI

Key Terms

stereo vision technical

Stereo vision is the ability to perceive depth and three-dimensional shape by comparing two slightly different views captured from separate cameras or eyes, much like how having two eyes lets you judge how far away an object is. For investors, stereo vision matters because it is a core technology for products that need accurate depth sensing—such as autonomous vehicles, robotics, augmented reality, and certain medical imaging devices—and it can affect a company’s product performance, safety profile, competitive edge, and market potential.

global shutter technical

A global shutter is a type of image sensor design that captures an entire frame of a scene at the same instant, like taking a single snapshot of everyone in a group photo, rather than scanning line by line. For investors, it matters because this capability reduces motion distortion in fast-moving applications (automotive, drones, industrial cameras), can command premium pricing or open new markets, and influences chip development priorities and manufacturing costs.

gmsl2 technical

GMSL2 is a high-speed data link standard used to carry video, control signals and sometimes power over a single cable between cameras or sensors and a central processor, commonly in cars and industrial systems. Investors care because it influences demand for chips, camera modules and supplier systems—adoption can be a competitive advantage and drives revenue for component makers much like a faster, more reliable highway increases traffic and commerce for businesses along its route.

time-of-flight technical

A time-of-flight measurement records how long particles, molecules, or pulses of energy take to travel from one point to another; the travel time is then used to identify what those particles are or to build an image. Think of it like timing how long different runners take to cross a track to tell them apart. Investors care because faster, more precise time-of-flight technology can improve diagnostic accuracy, lab throughput, product competitiveness, regulatory approval chances, and ultimately device or instrument market value.

nvidia isaac sim technical

A software platform that creates realistic virtual environments where robots and autonomous systems can be developed, tested and trained without physical hardware. Like a flight simulator for robots, it lets engineers run many scenarios quickly and cheaply, reducing development time and risk; for investors, that can translate into faster product rollouts, lower costs, recurring software revenue and broader adoption of robotic and AI solutions.

sim-to-real transfer technical

Sim-to-real transfer is the process of taking software, controls or models developed and tested in a computer simulation and deploying them to work in real-world machines, robots, or systems. For investors it matters because successful transfer can cut development time and cost, lower the risk that products fail when moved out of the lab, and speed commercialization—like training in a driving simulator and then reliably driving an actual car.

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The ZED X Nano sets a new standard for wrist-mount stereo vision, delivering 2.3MP RGB, neural depth, zero-copy capture pipeline, and ruggedized GMSL2 connectivity in a 40% smaller form factor

SAN FRANCISCO--(BUSINESS WIRE)-- Ouster, Inc. (Nasdaq: OUST) (“Ouster” or the “Company”), a leader in sensing and perception for Physical AI, announced today the release of the Stereolabs ZED X Nano, a compact wrist-mount stereo camera engineered for robotic manipulation, imitation learning, and high-throughput data collection in the Physical AI era.

Stereolabs ZED X Nano: a compact wrist-mount stereo camera engineered for robotic manipulation, imitation learning, and high-throughput data collection.

Built for the robotic arm: smaller, tougher, faster

As robotics teams scale imitation learning and reinforcement learning for manipulation tasks, RGB image quality and end-to-end capture latency have become critical bottlenecks. Legacy cameras rely on USB connectivity, capture low-resolution 720p RGB and depth, and require CPU-mediated pipelines that limit throughput and add latency.

Stereolabs ZED X Nano was designed from the ground up to solve these problems. Measuring 40% smaller in height than comparable solutions, the camera mounts directly onto robotic wrists and end-of-arm tooling where every millimeter matters. It leverages the same 1920×1200 global shutter sensor trusted across the flagship ZED X camera line, capturing high-resolution RGB and depth images at up to 120fps for training data and manipulation.

Durability is designed in. Sporting an onboard vibration-proof IMU, the camera is powered by ruggedized GMSL2 connection and next-generation cabling engineered for the repeated motion and cable stress of robotic arms, replacing fragile USB-C with an industrial-grade link that carries video up to 15 meters with EMI resistance and locking connectors.

Zero-copy pipeline for Physical AI

At the heart of the ZED X Nano is an ultra-low-latency capture pipeline with a fully zero-copy path from sensor to GPU, with frames flowing directly into NVIDIA hardware encoders and AI inference pipelines simultaneously. For data collection teams, this means higher-throughput dataset capture at full resolution. For deployment teams, it means running perception, segmentation, and policy networks in parallel on the same frames with more GPU headroom for the models that matter.

Neural Depth with sub-millimeter accuracy

Depth is powered by Stereolabs's Neural Depth Engine, the leading AI stereo depth system with sub-millimeter accuracy in the Z-axis while delivering significantly better lateral (XY) positioning than traditional structured-light or time-of-flight cameras, a critical advantage for grasp pose estimation, fine placement, and assembly tasks where lateral error directly translates to manipulation failure. With a minimal depth sensing range of 3cm, the camera can also sense closer than comparable solutions in the market.

Native Integration with NVIDIA® Isaac™ and ROS

ZED X Nano is the latest Stereolabs product to offer first-class native integration with NVIDIA Isaac Sim and Isaac Lab for sim-to-real transfer, as well as native ROS and ROS 2 support. Teams building imitation learning or reinforcement learning pipelines can capture high-fidelity demonstrations, train in simulation with matched camera models, and deploy to hardware, all on the same sensor and software stack.

“Building on Stereolabs leadership in AI vision and perception solutions, the ZED X Nano allows us to go deeper into the industrial and robotics markets to win new sockets that require smaller form-factor placements,” said Ouster CEO Angus Pacala. "The future of Physical AI depends on massive amounts of high-quality, low-latency image data collected at the edge. With the ZED X Nano, we're giving roboticists a major upgrade to their vision systems, enabling machines to sense, think, act, and learn with unprecedented precision."

The ZED X Nano is available for pre-order starting today. For technical specifications, pricing, and integration details, visit www.stereolabs.com. Shipping begins May 2026.

About Ouster

Ouster (Nasdaq: OUST) is a leader in sensing and perception for Physical AI across industrial, robotics, automotive, and smart infrastructure. With a unified platform of high-performance digital lidar, cameras, AI compute, sensor fusion and perception software, and AI models, Ouster delivers solutions that improve quality of life in the physical world. Headquartered in San Francisco, CA, Ouster has a global presence serving thousands of customers with offices in the Americas, Europe, and Asia-Pacific. For more information about our products, visit www.ouster.com, contact our sales team, or connect with us on X or LinkedIn.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. The Company intends such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in Section 27A of the Securities Act of 1933, as amended and Section 21E of the Securities Exchange Act of 1934, as amended. Such statements are based upon current plans, estimates and expectations of management that are subject to various risks and uncertainties that could cause actual results to differ materially from such statements. The inclusion of forward-looking statements should not be regarded as a representation that such plans, estimates and expectations will be achieved. Words such as “expect,” “will”, “may,” “anticipate,” “intend,” “reflect,” “should,” “plan,” “can,” “could,” “offer,” “estimate,” “possible,” “potential,” “pursue,” “demonstrate,” and the negative of these terms and similar expressions are intended to identify forward-looking statements, though not all forward-looking statements use these words or expressions. All statements, other than historical facts, including statements regarding the development, capabilities, performance, demand and adoption of the Company’s products; product availability and shipping lead timelines; Ouster’s market and competitive positioning; industry and business trends, and Ouster’s business objectives and plans, all constitute forward-looking statements. All forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially from those that we expected, including, but not limited to, the possibility of cancellation or postponement of contracts or unsuccessful implementations; risks related to the adoption of Ouster’s products, inaccurate forecasts of market growth and customer demand; supply chain constraints and challenges; Ouster’s ability to respond to evolving regulations and standards; changes to trade policy, tariffs, and import/export regulations may have an adverse effect on Ouster’s business, financial condition and results of operation; conditions in the industries the Company targets or the global economy; and other important risk factors discussed in the Company’s Annual Report on Form 10-K for the year ended December 31, 2025, and as may be further updated from time to time in the Company’s other filings with the SEC. Readers are urged to consider these factors carefully and in the totality of the circumstances when evaluating these forward-looking statements, and not to place undue reliance on any of them. Any such forward-looking statements represent management’s reasonable estimates and beliefs as of the date of this press release. While Ouster may elect to update such forward-looking statements at some point in the future, it disclaims any obligation to do so, other than as may be required by law, even if subsequent events cause its views to change.

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Source: Ouster, Inc.