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Open robotics AI & Deep-Tech education

Introduction

Welcome to Open Robotics AI & Deep-Tech Education, a structured, open-source educational initiative designed to provide hands-on training in robotics, AI, automation, and business development. This project integrates deep-tech learning with real-world applications, offering a clear roadmap for individuals looking to build, use, maintain, and commercialize robotic systems.

What you will learn

  1. AI-driven warehouse automation – Design, build, and deploy autonomous mobile robots (AMRs) and intelligent storage systems.
  2. Deep-tech fundamentals – Embedded systems, AI-powered navigation, computer vision, and reinforcement learning.
  3. Real-world robotics applications – Industry-driven solutions for e-commerce, e-grocery, logistics, and last-mile automation.
  4. Business & entrepreneurship – Develop scalable robotics startups, integrate automation in SMEs, and explore Robotics-as-a-Service (RaaS) models.

This initiative consists of three interconnected pillars:

  • Deep-tech and robotics training – Theoretical and practical AI-robotics education.
  • Hands-on product development – Developing AMRs, cobots, and AI-based warehouse automation systems.
  • Business & entrepreneurship – Scaling robotic solutions into commercial ventures.

Problem-based learning

Small and medium-sized warehouses face increasing pressure to handle growing e-commerce demand, optimize storage, and reduce operational costs. Traditional automation solutions are expensive and complex, leaving many SMEs without scalable options. Many businesses struggle with labor shortages, inefficient inventory management, and high order fulfillment costs.

The lack of accessible automation training further limits the ability of businesses to implement effective solutions. Many engineers, operators, and business owners lack the knowledge, skills, and tools needed to adopt robotics, AI, and deep-tech innovations.

Our solution

Open Robotics AI & Deep-Tech Education is an open-source educational initiative that not only provides structured training but also enables hands-on engagement with real automation systems. Our platform is built around two key open-source projects:

  • OpenAMR – Autonomous mobile robots (AMRs) for warehouse logistics, material handling, and automation.
  • EasyMove – AI-powered, puzzle-based automated rack-moving system for intelligent storage, sorting, and replenishment.

By combining AMRs with AI-driven dynamic storage, we provide an affordable, scalable, and flexible warehouse automation solution for businesses while training professionals in deep-tech disciplines.

Who benefits?

  • Engineers and tech professionals – Gaining expertise in robotics, AI, and industrial automation.
  • Entrepreneurs and business owners – Understanding how to commercialize automation and robotics solutions.
  • E-commerce fulfillment centers – Automating order picking and last-mile logistics.
  • E-grocery fulfillment warehouses – Optimizing fresh food storage and dispatch.
  • CEP (Courier, Express, and Parcel) sorting hubs – Enhancing parcel routing and last-mile delivery.
  • SMEs and startups – Learning how to implement AI-driven warehouse automation at a lower cost.

Structure

This initiative is structured as a problem-based, hands-on learning program focused on AI, robotics, and industrial automation. It is designed to be more than just theory—it prepares learners for real-world challenges by guiding them through practical implementation.

Learning roadmap

  1. Master AI & robotics fundamentals – Path planning, embedded systems, computer vision, deep learning.
  2. Build and test real-world automation projects – Warehouse robotics, autonomous navigation.
  3. Develop business & entrepreneurship skills – Commercializing robotics solutions, RaaS models.
  4. Work on industry-specific applications – E-commerce fulfillment, last-mile delivery, AI logistics.

Course format

  • Duration: 4 months of structured training for each of 3 modules.
  • Lessons: 2 times per week, each session lasting 2 hours (total 64 hours) for each of 3 modules.
  • Format: A combination of video lessons, webinars, hands-on projects, and quizzes.
  • Certification: Earn an industry-recognized certificate upon completion.

Practical components

  • Hands-on projects using real and simulated robotics environments.
  • Development of autonomous mobile robots (AMRs) for warehouse automation.
  • AI-powered computer vision applications for item recognition, sorting, and quality control.
  • Simulation of real warehouse automation use cases using AI-driven robotics.
  • Collaboration with other learners through GitHub contributions and open-source development.

Collaboration and networking

This is not just a training program—it is a collaborative ecosystem where learners actively engage with experts, industry leaders, and fellow robotics enthusiasts.

Connect and collaborate

  • GitHub discussions – Participate in project development, contribute code, and exchange ideas.
  • Live mentorship and expert-led Q&A sessions – Gain insights from professionals in AI and robotics.
  • Open-source contributions – Improve documentation, test robotic systems, and enhance automation tools.
  • Team-based projects – Work with others to design, test, and deploy AI-powered robotic solutions.

By contributing to the real-world development of OpenAMR and EasyMove, participants gain valuable experience and expand their professional networks.


Project management and entrepreneurship

Beyond technical training, the program also includes business and project management modules, ensuring that learners understand how to implement and scale robotics solutions in real industries.

Business & entrepreneurship

  • Project planning & Agile development – Managing AI and robotics projects efficiently.
  • Monetization & business models – Turning robotics solutions into profitable businesses.
  • Funding & investment strategies – Accessing grants, venture capital, and government innovation programs.
  • Marketing & sales for robotics startups – Reaching industrial clients and B2B partnerships.
  • RaaS (Robotics-as-a-Service) implementation – Scaling robotics solutions with service-based business models.

These modules ensure that learners not only develop cutting-edge technology but also understand how to commercialize and deploy automation solutions in various industries.


For whom?

The program is open to students, engineers, professionals, and entrepreneurs looking to gain expertise in AI, robotics, and automation.

Ideal participants

  • Aspiring AI & robotics engineers – Learn advanced robotics concepts and AI-driven automation.
  • Tech entrepreneurs – Build and scale AI-powered robotics businesses.
  • Industry professionals & warehouse operators – Gain expertise in warehouse automation and digital transformation.
  • STEM students & researchers – Apply deep-tech knowledge to real-world automation.

Certification and career opportunities

Participants who successfully complete the program will: - Develop deep technical expertise in AI, robotics, and automation.
- Gain real-world experience through hands-on industry projects.
- Earn an industry-recognized certification.
- Enhance their career prospects in AI robotics, industrial automation, and deep-tech innovation.
- Join a global community of AI, robotics, and automation professionals.


Get started now

This initiative is built for those who want to learn, apply, and innovate in AI-driven robotics and automation.

📖 Start learning now