AdaAI GmbH

Our project aims to tackle inefficiencies in warehouse robotics, such as traffic congestion, picking errors, and reduced throughput. Using multi-agent reinforcement learning (MARL), we enable coordinated, real-time movement of robots, reducing bottlenecks and improving accuracy in warehouse operations. This approach dynamically adapts to changing conditions and demand.

Led by a team of enthusiastic AI and robotics specialists, our solution is designed to offer practical and scalable improvements for automated logistics, aiming to enhance efficiency and benefit a wide range of businesses in the warehouse management sector.