As Atam Technology, we played a leading role within the scope of this project, where we developed key sub-systems of a holistic Urban Air Traffic Management (UATM) system, including the UATM Software, a Droneport, and a Communication Device. The project culminated in a general demonstration flight of the UATM system in Belgrade, successfully showcasing the integrated platform in a real-world urban environment. The consortium consisted of seven partners from EU member and associated countries. The development and production of these innovative sub-systems were carried out through a Start-Up established within İKÜ TTO. Furthermore, a commercial agreement was signed between the Start-Up and EIT Urban Mobility, formalizing a strategic partnership to support the commercialization and broader deployment of UATM technologies.

This project focused on developing collaborative strategies for heterogeneous robotic systems in agricultural operations. The main goal was to optimize the joint functioning of unmanned aerial vehicles (UAVs) and mobile platforms, enabling autonomous and efficient farming operations through an intuitive human-robot interface. Our role involved contributing to the theoretical foundations for autonomous platform operations and the interaction between human operators and UAVs. Additionally, we were responsible for proposal writing and led efforts in developing collaborative learning and time-critical interaction components, such as gesture and voice commands, ensuring the project’s successful completion and impact on agricultural robotics.

This project concentrated on enhancing AI and ML-based innovation practices across academia and industry, with a particular emphasis on aerospace and sustainability. The main goal was to foster international collaboration and elevate Europe’s position in deep-tech research and development. As Atam Technology, we assumed the role of Partner Leader, spearheading the formulation of cutting-edge AI/ML algorithms and coordinating training and certification programs. By managing these critical aspects, we ensured the project’s successful execution and meaningful contributions to the advancement of AI-driven solutions in multiple sectors.

This project focused on developing an AI-driven mobile application that optimizes tourism routes based on user preferences and historical data. The main goal was to enhance travelers’ experiences by providing personalized itineraries, leveraging advanced route optimization algorithms. As Atam Technology, we contributed to the design and integration of these algorithms and oversaw the proposal writing and stakeholder engagement. This ensured the project’s successful completion and a significant impact on how personalized tourism services are delivered.