OpenAMR project – an ambitious open-source initiative originating from Alex Reznichenko`s initiative and based in the Mechatronics Lab at BHT University in Berlin. With a mission to democratize robotics, OpenAMR provides comprehensive resources for building affordable autonomous mobile robots (AMRs), making robotics accessible to a global audience. The project is poised for an exciting evolution, incorporating educational frameworks and business support systems to empower individuals and SMEs worldwide.
The OpenAMR initiative – a foundation for accessible robotics
OpenAMR aims to revolutionize goods transportation in warehouses and manufacturing plants through:
- Cost efficiency: Robots designed with a production cost under €3,000, enabling accessibility for SMEs, entrepreneurs, and specialists.
- Modular design: Customizable platforms with attachments for diverse applications, including conveyors and elevators.
- Advanced navigation: Integration of LiDAR SLAM technology for precision navigation and obstacle avoidance.
- High manufacturability: Simplicity in design for easy production using basic manufacturing technologies.

OpenAMR expanding the horizon to an educational and business ecosystems
Building on the OpenAMR foundation, we envision an ecosystem that combines cutting-edge robotics education with tools for business development, aimed at fostering a global network of SMEs offering Robotics-as-a-Service (RaaS).
Educational Modules
The educational platform will deliver modular content covering the full lifecycle of robotics development, from technical foundations to business strategies. Key modules include:
- Technical modules
- Chassis design: Materials selection, production technologies, and CAD prototyping.
- Electronics design: PCB creation, microcontroller programming, power systems, and sensor integration.
- Software development:
- Embedded systems programming.
- ROS-based navigation leveraging Linorobot.
- Fleet management with OpenRMF.
- Cloud analytics and AI tools for customer insights.
- Integration and automation:
- Odoo ERP/CRM/WMS integrations for seamless business operations.
- Last-mile logistics solutions using Fleetbase.
- Business modules
- Market research and Business analysis: Identifying automation opportunities and conducting financial modeling.
- Sales and Marketing: Online strategies for customer acquisition and retention.
- Maintenance and Support: Training for comprehensive robot servicing and lifecycle management.
- Industry 4.0 readiness framework
- Utilizing the Smart Industry Readiness Index (SIRI) to measure digital maturity and provide actionable insights for SMEs.

Learning Outcomes
Upon completing the course, participants will:
- Gain mastery over the complete lifecycle of robot creation, from market research and design to production and deployment.
- Specialize in areas such as robotics R&D, system integration, and after-sales service.
- Develop business acumen for launching RaaS ventures or scaling automation within existing SMEs.
Target audiences and Market opportunities
The initiative targets:
- Aspiring roboticists: Providing technical expertise for careers in robotics.
- Entrepreneurs: Enabling the launch and growth of robotics businesses.
- SMEs: Offering affordable automation solutions tailored to their needs.
Key Regions
The program focuses on regions with high robotics adoption potential, such as:
- Emerging economies: India, MENA, Southeast Asia, Africa, and Central Asia.
- Developed markets: EU and North America.
- Tech Hubs: Singapore and UAE.
Unique value proposition
- For learners: Comprehensive robotics training encompassing technical, business, and operational skills.
- For SMEs: Cost-effective tools and expertise for automating workflows.
- For entrepreneurs: Guidance for establishing RaaS businesses or educational initiatives.
- Industry 4.0 integration: Leveraging SIRI to evaluate and enhance digital transformation strategies.
The project’s sustainability is underpinned by:
- Courses: Paid certifications for advanced modules.
- Toolkits: Affordable robotics kits and software tools.
- Subscriptions: Premium content, updates, and support (sponsorship).
- Partnerships: Collaborations with SMEs on automation projects.
Long-term goals and roadmap
- Year 1: Launch core modules and pilot programs.
- Year 2: Add advanced technical and business modules; partner with institutions and SME associations.
- Year 3: Scale the RaaS SME network and incorporate AI and humanoid robotics.
Conclusion
By blending open-source robotics with robust educational and business frameworks, our vision for OpenAMR promises to bridge the gap between technical innovation and practical application. This initiative not only democratizes robotics but also fosters a global community of professionals and businesses driving efficiency and innovation in manufacturing and logistics. Through this transformative project, the future of automation becomes accessible to all.
Botshare book: Open Robotics AI & Deep Tech Education
Author: Alex Reznichenko
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