Robo Adapt-a-Pal

The project “Robo Adapt-a-Pal – AI-Based Robot-Agnostic System for Adaptive Mixed Palletizing in Logistics Centers”, SMIS code 342962, funded through the Regional Programme 2021–2027, is implemented by OPTIMATHR COMPUTING SOLUTIONS SRL and has a total value of 124.387,50 EUR. Of this amount, 99.510,00 EUR represents non-reimbursable funding, of which 84.583,50 EUR comes from the European Regional Development Fund (ERDF). The Regional Programme 2021–2027 is implemented at the regional level by the North-East Regional Development Agency (ADR Nord-Est) as the Managing Authority, which oversees the implementation of this project in the North-East Region. The project is scheduled to run from 24.10.2025 to 23.08.2027.

The project’s general objective is to develop the Robo Adapt-a-Pal mixed palletizing prototype from TRL 3 to TRL 5, intended for use in industries undergoing smart and sustainable transition, in order to support SMEs in the North-East Region in adopting advanced new technologies. By using artificial intelligence solutions and advanced optimization, the project will strengthen the company’s innovation capabilities, preparing it for scaling and commercialization in a globally competitive environment. The objective is to deliver a demonstrated software product with high adaptability to diverse customer requirements and compatibility with a wide range of industrial equipment.

The project is expected to deliver the following results:

• Software interface capable of translating palletization commands generated by the system into an abstract and interoperable format, which can be easily converted into robot-specific instructions for different industrial robots. The system’s functionality under real-world conditions, in a controlled laboratory environment, validates full integration and the ability to operate with real industrial robots, as well as the potential for technology transfer to commercial applications.
• Correct functioning of the system in a controlled virtual environment, demonstrating the system’s ability to adapt to different robotic configurations and palletization scenarios, without collisions and while respecting operational constraints.
• AI module designed, implemented, and integrated, tested in realistic scenarios, with performance evaluated through specific metrics and a comparative report, demonstrating full functionality within the operational pipeline.
• Functional version of the 3D mixed palletization algorithm, capable of generating feasible plans for real robots, with guaranteed stability, collision-free trajectories, and adaptation to gripper characteristics.