San Francisco, August 2026 β Stereolabs, a wholly owned subsidiary of Ouster, has introduced the ZED X Nano, a wrist-mount stereo camera designed specifically for embodied AI and robotic manipulation. The camera sets a new standard for wrist-mounted stereo vision, delivering 2.3MP RGB, neural depth, a zero-copy capture pipeline, and ruggedized GMSL2 connectivity in a form factor 40% smaller than comparable solutions.
## 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.
The 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 x 1200 global shutter sensor trusted across the flagship ZED X camera line, capturing high-resolution RGB and depth images at up to 120 fps for training data and manipulation.
Durability is designed in. Sporting an onboard vibration-proof IMU, the camera is powered by a 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’ 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. This is 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 3 cm, the camera can sense closer than comparable solutions in the market, meeting the tight spatial requirements of wrist-mounted operations.
## Trossen Robotics Partnership
Stereolabs also announced a collaboration with Trossen Robotics that integrates ZED X Mini and ZED X Nano cameras into Trossen’s Physical AI hardware suite for robot learning, including the Workbench and Rivet bimanual manipulation platforms.
Each platform features dual WidowX Pro 6-DoF arms with reach from 700 mm to 1000 mm, payload capacities of 4 to 6 kg, and 1 mm repeatability, powered by an onboard NVIDIA Jetson AGX Orin 64 GB compute. A center-mounted ZED X Mini provides the global scene view and stereo-depth context of the full workspace, while each wrist-mounted ZED X Nano delivers the close-range view of the gripper and object that imitation-learning policies rely on for fine manipulation.
“The Physical AI community is migrating to GMSL2 because USB can’t handle the long cable runs from the end effector to compute that real robots demand,” said Matt Trossen, CEO of Trossen Robotics. “Stereolabs ZED X Nano gives us the signal stability, image quality, and throughput to take Physical AI from the lab into hardened industrial deployments.”
## Native Integration
The ZED X Nano offers 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.”
The ZED X Nano is available for pre-order, with shipments beginning in May 2026.
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