# Physical Intelligence insights

Rangoon Insights reporting and guides tagged Physical Intelligence.

Canonical: https://rangoon.ai/insights/tags/physical-intelligence/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [Physical Intelligence’s π*0.6 used deployment experience and corrections as VLA training inputs](https://rangoon.ai/insights/archive-physical-intelligence-pistar06-recap-november-2025/)
  Physical Intelligence introduced π*0.6 and its RECAP method on November 17, 2025, combining demonstrations, autonomous rollouts and expert corrections for robot-policy training.
- [π0.5 tested a single VLA on home-cleaning tasks outside its training scenes](https://rangoon.ai/insights/archive-physical-intelligence-pi05-april-2025/)
  Physical Intelligence introduced π0.5 on April 22, 2025, using mixed robot and multimodal data to test long-horizon cleaning in new homes.
- [Physical Intelligence’s π0 connected a vision-language backbone to continuous robot actions](https://rangoon.ai/insights/archive-physical-intelligence-pi0-october-2024/)
  Physical Intelligence introduced π0 on October 31, 2024, a generalist robot policy combining cross-embodiment data, language prompts, and flow-matched actions.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)