Introducing Ego-OSCAR
An open-hardware, head-mounted stereo-inertial capture device for egocentric data collection in the wild - under USD 200 in commodity parts - released with 550 hours of stereo data captured across 100+ environments.
Infrastructure for Physical AI
FPV Labs is a research and product company that works on human representations for robot learning. We believe human data will trigger the largest economic transformation in human history, and the underlying infrastructure that can make the right use of those representations meaningfully will determine how fast we get there.
We will achieve this by building the full-stack infrastructure for capturing, processing, and transferring human sensorimotor experience for dexterous manipulation of robots.
An open-hardware, head-mounted stereo-inertial capture device for egocentric data collection in the wild - under USD 200 in commodity parts - released with 550 hours of stereo data captured across 100+ environments.
We are open-sourcing Stera 2.0: a capture stack for collecting high-fidelity multimodal RGB-D data from commodity mobile phones. The mobile app, native recording engine, upload backend, and white-label tooling let any lab own its own capture stack.
Our production-grade system for fine-grained action labeling of raw robot and human egocentric video. Vidur sets a new state of the art on WGO-Bench and beats Gemini 3.5 Flash on EgoExoLearn at lower cost.
Benchmarking ARKit pose for Stera against a 24-camera Vicon system and over hour-long sessions: metric to within centimetres, sub-degree, and drift-bounded under 1 cm across full-home captures.
A full-stack platform for high-fidelity multimodal data capture and Stera-10M open-source dataset collected on commodity hardware.
Why the sensor-level choice between rolling and global shutter matters deeply for egocentric SLAM, and what can be done about it.
Why long-horizon state tracking in egocentric manipulation is harder than it looks, and why it matters for robot learning.
FPV Labs is building the full-stack infrastructure for capturing, processing, and transferring human experience into machine knowledge.
For more details, reach us at [email protected]
Follow us on X at @fpv_labs