Generalist AI

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.

Commercial robot foundation models for autonomous, round-the-clock dexterity.

Dyna Robotics builds general-purpose robots powered by DYNA-1, an embodied AI foundation model aimed at commercial-grade, fully autonomous dexterity. In a public demo, DYNA-1 folded 800+ napkins over a continuous 24-hour run at a reported 99.4% success rate with no human intervention. The Redwood City company targets restaurant, grocery, and other service deployments.