RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

Seamlessly integrate state-of-the-art transformer models into robotics stacks

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses | 500+ Papers | Perception, Cognition, Planning, Interaction, Agentic System

EMOS CLI Utility

AEROS: A Runtime Architecture for Embodied Agents with Installable Capability Modules

Experiment code for: Learning Without Losing Identity — Capability Evolution for Embodied Agents

Simulation code for: Federated Single-Agent Robotics — Fleet Coordination Under Governed Autonomy

Simulation code for: Governed Capability Evolution for Embodied Agents

Simulation code for: Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution

Experiment code for: ECM Contracts — Contract-Aware, Versioned, and Governable Capability Interfaces for Embodied Agents