Overcome the Long-Standing Problems of UAVs via the Efficient Utilization of Swarming Technologies

OPUS project envisages to develop tools and methodologies which pave the way for the widespread introduction of multi-UAV technologies. OPUS tackles the challenge of persistent multi-UAV flight from the perspective of innovative algorithmic optimization in UAV swarms. Cooperative utilization of multiple UAVs, smart rotation, real-time data fusion and optimal placement of docking stations can greatly enhance continuous operation and extended mission durations. Advanced performance alone, however, cannot permeate in the industry. For robotic platforms such as this, familiarity, simplicity and ease of use is required as well, all of which can be achieved through autonomy. Addressing human dependency, the project will introduce an automatic scheduler for UAV rotations and a unified change detection map, significantly reducing the cognitive load on human operators and enhancing scalability. For robust and fault-tolerant missions, OPUS will combine pre-programmed and fully autonomous approaches, delivering dynamic re-routing and task reallocation capabilities that adapt in real-time to unforeseen events. The project’s outcomes will significantly benefit applications such as emergency response, environmental monitoring, and public safety.