Agentic AI is moving from software-only workflows into the physical world.
That shift needs a bridge between agent frameworks and real robot systems. That’s what we’re building with
@AgenticROS.
AgenticROS connects AI agents to ROS2-powered robots through a shared robotics runtime that supports
#ROS2 topics, services, actions, parameters, camera snapshots, depth sensing, and safety-checked actuation.
It currently includes adapters for
@OpenClaw,
@NVIDIAAI #NemoClaw,
@claudeai,
@OpenAIDevs #Codex, and
@GeminiApp with transport support for Zenoh, rosbridge, local DDS, and WebRTC. That means the same robot capabilities can be exposed across multiple agent platforms while keeping the robotics layer consistent.
The bigger idea is an open foundation for Physical AI:
- Agents should be able to perceive through
@RealSenseai stereo depth sensors
- They should reason over robot state and environment context
- They should safely act through ROS2 control interfaces
- New behaviors should be installable as skills rather than hardcoded into the core
- Robotics developers should be able to bring their existing ROS stacks into agentic workflows
AgenticROS also includes an open skill/plugin architecture, so capabilities like following a person, querying perception models, navigating, manipulating objects, or integrating external AI services can be added as modular packages.
The goal is simple: make ROS-powered robots accessible to agentic AI systems without locking developers into one model, one agent framework, or one robot platform.
Agentic AI needs a body. ROS-powered robots already have one. AgenticROS is the connective tissue. More details at
agenticros.com