Introducing the New Wrist-Mount Stereo Camera ZED X Nano for Embodied AI

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 industrial close-range perception module 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 Embodied 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 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."

Get your ZED X Nano now from our online shop.