UAB Rubedo Sistemos, a robotics solutions developer, secured €135K with ProBaltic Consulting to develop an AI-based smart robot traffic management solution: the system predicts warehouse loads in real time, automatically resolves obstacles and dynamically optimises robot routes using machine learning.
| Client | UAB Rubedo Sistemos |
|---|---|
| Field | AI & digital transformation |
| Grant amount | €135,236 |
| Technology | AI and machine learning for autonomous robot fleet management |
| Services provided | R&D application drafting, project administration |
Challenge
As warehouse automation grows, dozens of autonomous robots in one space create a congestion problem: static routes fail under real loads, and downtime directly cuts logistics throughput.
Solution
ProBaltic Consulting prepared the R&D application for the AI-based solution: a machine learning model predicts loads, and dynamic route optimisation lets the robot fleet adapt in real time.
Results
- €135K non-dilutive R&D grant;
- An AI solution raising warehouse robotics throughput;
- A stronger position in the growing intralogistics market.
Planning a similar project?
ProBaltic Consulting has prepared projects worth more than €250 million since 2007, securing over €90 million in non-dilutive grants. Learn about our services or contact us for a free eligibility assessment.