# vision-language-action insights

Rangoon Insights reporting and guides tagged vision-language-action.

Canonical: https://rangoon.ai/insights/tags/vision-language-action/

## 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.
- [Gemini Robotics 1.5 joined robot motor control with a separate embodied-reasoning model](https://rangoon.ai/insights/archive-google-gemini-robotics-1-5-september-2025/)
  Google DeepMind introduced Gemini Robotics 1.5 on September 25, 2025, pairing a vision-language-action model with embodied reasoning for multi-step robot tasks.
- [Figure’s Project Go-Big made human-video provenance part of its Helix pretraining claim](https://rangoon.ai/insights/archive-figure-project-go-big-september-2025/)
  Figure announced Project Go-Big on September 18, 2025, pairing a humanoid pretraining-data initiative with a vendor claim of zero-shot human-video-to-robot navigation.
- [Google’s Gemini Robotics On-Device put a vision-language-action model on the robot](https://rangoon.ai/insights/archive-google-gemini-robotics-on-device-june-2025/)
  Google DeepMind introduced Gemini Robotics On-Device on June 24, 2025, an on-robot vision-language-action model designed for dexterity and fast adaptation.
- [Isaac GR00T N1.5 made synthetic-trajectory provenance part of robot learning](https://rangoon.ai/insights/archive-isaac-groot-n1-5-may-2025/)
  NVIDIA announced Isaac GR00T N1.5 on May 19, 2025, pairing a humanoid-model update with a blueprint for generating synthetic motion data.
- [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.
- [Isaac GR00T N1 made humanoid action generation a deployment-boundary question](https://rangoon.ai/insights/archive-isaac-groot-n1-humanoid-2025/)
  NVIDIA introduced Isaac GR00T N1 on March 18, 2025 as an open humanoid-robot foundation model with a reported dual-system architecture.
- [Gemini Robotics made the controller boundary visible in physical AI](https://rangoon.ai/insights/archive-gemini-robotics-embodied-action/)
  Google DeepMind introduced Gemini Robotics in March 2025 as a Gemini 2.0-based vision-language-action model, while retaining embodiment-specific low-level safety controls.
- [Figure’s Helix split language grounding from a 200 Hz humanoid control loop](https://rangoon.ai/insights/archive-figure-helix-february-2025/)
  Figure introduced Helix on February 20, 2025, pairing a 7B vision-language system with an 80M control policy for upper-body humanoid manipulation.
- [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)