Efference is building robotic cameras because nothing on the market does the things that make 3D vision efficient and effective in humans. Data representations matter (arxiv.org/abs/2502.20237) and humans have a lot of important design features (karger.com/bbe/article-ab…). A

Depth sensing is a crucial part of any modern robotics stack, but off the shelf stereo cameras rarely deliver the quality and reliability that we need. What Gianluca Bencomo is building here is very exciting: a new depth camera with custom, real-time models baked in. He just

Efference (Efference) is building robotic cameras that treat vision as a software problem, not a hardware problem -- just like humans do. ycombinator.com/launches/Ol5-e… Congrats on the launch, Gianluca Bencomo!

These are point clouds from: …onal-manipulation-benchmark.github.io D405 cameras are EVERYWHERE in robotics (commonly wrist mounted like what I have on my YAM arms) but depth is rarely used because it’s not very good Our models make training 3D diffusion policies possible W/O the use of LiDAR

Reliable self-driving for hundreds of $$ (cameras) instead of thousands (LiDAR). We’ve been testing depth maps and object detection at 50m and beyond. Videos show Efference with D435i mounted on the front, side, and rear while driving around Russian Hill / Pacific Heights

Drone demo cooking Efference

We are hiring embedded firmware engineers, full stack engineers, and robot learning interns. If you or anyone you know is interested in robotic perception, please reach out to us. efference.ai/careers

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