Release 0.2.0
Release Notes - v0.2.0
🎉 Production-Ready Release - OpenClaw Optimized
Agent ROS Bridge v0.2.0 is here! This major release transforms the project into a production-ready, OpenClaw-native robotics platform with comprehensive documentation, self-contained examples, and clean architecture.
✨ What's New
📚 Complete Documentation Suite (40,000+ words)
We've written the book on AI-native robotics:
User Manual (23,000+ words) - Complete guide covering installation, tutorials, fleet management, troubleshooting
API Reference (13,000+ words) - Full API documentation with examples
Docker vs Native - Deployment strategy comparison and decision matrix
DDS Architecture - Understanding ROS2/DDS relationship
Multi-ROS Guide - Fleet management with mixed ROS1/ROS2
Repository Structure - Clean source/build separation guide
🎯 7 Self-Contained Examples
Every example works instantly with ./run.sh:
Example Description Launch Time
quickstart/ Basic bridge usage 5 seconds
fleet/ Multi-robot coordination 5 seconds
auth/ JWT authentication 5 seconds
mqtt_iot/ IoT sensor integration 5 seconds
actions/ ROS navigation/actions 5 seconds
arm/ UR/xArm/Franka control 5 seconds
metrics/ Prometheus monitoring 5 seconds
No ROS installation required - all examples run in mock mode for instant testing.
🤖 OpenClaw Native Integration
SKILL.md optimized for ClawHub discovery and installation
Integration tests verify OpenClaw compatibility
Native commands - openclaw run agent-ros-bridge quickstart
One-line install - openclaw skills add agent-ros-bridge
🛠️ Developer Experience
Makefile with comprehensive targets (make example-quickstart, make validate, etc.)
ROS validation script - Check your native ROS setup before deployment
Clean repository structure - 155 source files, zero build artifacts
CONTRIBUTING.md - Clear development workflow
🔄 Breaking Changes
Reorganized: demo/ → examples/
Old paths no longer work:
❌ Old (v0.1.0)
python demo/mock_bridge.py
✅ New (v0.2.0)
python examples/quickstart/mock_bridge.py
or
cd examples/quickstart && ./run.sh
Migration: All functionality preserved, just reorganized for clarity.
📊 Statistics
8,000+ lines of production code
40,000+ words of documentation
7 runnable examples with READMEs
155 source files (clean, no build artifacts)
100% OpenClaw ready
🚀 Quick Start
Install
pip install agent-ros-bridge
Try instantly (no ROS required)
cd examples/quickstart
./run.sh
Or with OpenClaw
openclaw skills add agent-ros-bridge
openclaw run agent-ros-bridge quickstart
🎯 Use Cases
AI Researchers - Control robots from Python without learning ROS
Robotics Startups - Fleet orchestration out of the box
Manufacturing - Production monitoring with Prometheus/Grafana
Education - Learn robotics with instant feedback
OpenClaw Users - Give your AI agents physical bodies
📦 Installation
Via PyPI
pip install agent-ros-bridge
Via OpenClaw
openclaw skills add agent-ros-bridge
From source
git clone https://github.com/webthree549-bot/agent-ros-bridge.git
cd agent-ros-bridge
pip install -e ".[dev]"
🔗 Links
Documentation: https://github.com/webthree549-bot/agent-ros-bridge/tree/main/docs
Examples: https://github.com/webthree549-bot/agent-ros-bridge/tree/main/examples
PyPI: https://pypi.org/project/agent-ros-bridge/0.2.0/
Issues: https://github.com/webthree549-bot/agent-ros-bridge/issues
🙏 Thanks
This release represents a major step toward our vision: making robotics accessible to every AI engineer. Whether you're building warehouse automation, lab assistants, or home robots - Agent ROS Bridge gives your AI agents a physical body.
Ready to control real robots? Start with examples/quickstart/ and go from zero to moving robots in 30 seconds.
🗺️ Roadmap
Next up:
OpenClaw partnership and featured skill status
Template library for common use cases
VLA (Vision-Language-Action) model integration
Enterprise safety certification layer
Give your AI agent a body. 🤖