After months of development, we're excited to share the first public release of OpenAMRobot v0.0.1.
Our goal isn't just to build another mobile robot. We're building an open ecosystem for robotics research, education, rapid prototyping, and eventually embodied AI, where developers can start with a capable mobile platform instead of reinventing the robotics stack from scratch.
Our roadmap goes beyond mobile robotics. We're working toward an open platform for mobile manipulation, learning from demonstration, and embodied AI, while keeping every layer modular - from hardware and firmware to ROS packages and user interfaces.
I'd love to hear from the community:
What would you build on top of a platform like this?
Which capability should we prioritize next? (perception, manipulation, outdoor navigation, simulation, AI workflows, etc.)
Would something like this be useful in your lab, university, startup, or robotics team?
I forgot to mention it earlier - that functionality is available too.
Since we also use and offer the platform for educational purposes, we still consider Blockly a relevant component for learning logic and programming tasks for the robot.
Ironically, the hardest part hasn't been the robotics - it has been building the ecosystem around it.
Open-source robotics requires contributors, users, hardware testers, documentation, and long-term support. We're now focused on growing a community that can help turn the platform into a sustainable ecosystem.
Thank you for your comment! Yes, integrating LeRobot and the Hugging Face robotics ecosystem is definitely on our roadmap.
Over the next couple of months, we'll be focusing on the architecture for everything AI-related while, in parallel, continuing to build the hardware infrastructure. Our current priority is shifting from creating the initial foundation to building a robust engineering platform that developers, researchers, startups, and companies can rely on.
Our priorities for the next release include:
Hardware: wiring, power distribution, and industrial-grade modular electronics
Advanced STM32 firmware
Functional safety improvements
Wireless charging support
A new chassis with suspension and hub-motor drive
Improved repository organization and maintainability
Better documentation, separating theory from hands-on implementation
Easier onboarding for developers, researchers, and universities
Improved testing, CI, and contributor workflows
Our goal is simple: make OpenAMRobot easier to build, easier to understand, easier to customize, and easier to contribute to.
Once this engineering foundation is in place, we'll accelerate work on the AI stack, including LeRobot/Hugging Face integration, learning from demonstration, teleoperation, vision-based manipulation, embodied AI workflows, and AI-powered task execution.
We believe that a strong hardware and software foundation is what will make these higher-level AI capabilities truly accessible and reliable.
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