Data engine to deploy AI in the physical world
FPV Labs is a data and research 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.
Reach out to us at · Book a Demo· @fpv_labs
Latest
Introducing FPV-SLAM: State of the Art SLAM for egocentric data
FPV-SLAM ranks #1 on the monocular-inertial track of LaMAria, ETH Zurich's city-scale egocentric SLAM benchmark, leading all five categories.
Read- 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. August 14, 2026
- Stera 2.0: The Capture Stack for Egocentric RGB-D data is now open source 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. July 28, 2026
- Introducing Vidur 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. July 21, 2026
- How accurate is an iPhone tracking, really? 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. June 11, 2026
- Introducing Project Stera A full-stack platform for high-fidelity multimodal data capture and Stera-10M open-source dataset collected on commodity hardware. May 14, 2026
- Rolling Shutter vs Global Shutter Why the sensor-level choice between rolling and global shutter matters deeply for egocentric SLAM, and what can be done about it. April 17, 2026
- SLAM and VIO in Egocentric Data Why long-horizon state tracking in egocentric manipulation is harder than it looks, and why it matters for robot learning. April 10, 2026
- Announcing FPV Labs FPV Labs is building the full-stack infrastructure for capturing, processing, and transferring human experience into machine knowledge. April 3, 2026