FieldAI

General-purpose foundation models that aim to control any robot to do any task.

Physical Intelligence is a San Francisco lab building general-purpose AI for the physical world. Its π0 (pi-zero) vision-language-action model, built on a pretrained VLM and trained across many robot embodiments, can perform dexterous tasks like folding laundry. The company open-sourced π0's code and weights via its openpi repository.

A single, omni-bodied foundation model designed to control any robot.

Skild AI builds Skild Brain, a general-purpose robotics foundation model intended to control diverse embodiments — quadrupeds, humanoids, tabletop arms, mobile manipulators — without prior knowledge of a robot's exact form. It pretrains on large-scale simulation and internet video, then post-trains on targeted real-world data for customer deployments.

Humanoid robots powered by Helix, an in-house vision-language-action model.

Figure AI builds general-purpose humanoid robots (Figure 01–03) driven by Helix, its proprietary vision-language-action model that fuses perception, language, and learned control. Figure 03, announced in 2025, targets the home and broader applications; earlier models were piloted in BMW's automotive manufacturing.

End-to-end embodied AI for self-driving that scales across any vehicle.

Wayve builds AV2.0, an embodied-AI approach to automated driving that replaces hand-engineered perception-planning-control pipelines with a single end-to-end neural network mapping raw camera and radar input to driving commands. It develops the GAIA generative world model for training and the LINGO language model for interpretable driving. Backed by NVIDIA, Microsoft, and SoftBank, and partnered with Uber.