New algorithm lets drones transport heavy objects together in remote areas

Researchers at TU Delft have developed a novel algorithm enabling multiple drones to collaboratively lift, transport, and precisely control the orientation of heavy payloads via cables. This system addresses the limitations of single drones, which have restricted load capacities, by coordinating several drones to carry heavier objects and adapt in real time to changing payload dynamics and external disturbances such as wind or sudden movements. Unlike traditional control methods that are slow and rigid, this new algorithm offers fast, flexible, and robust control without needing sensors on the payload itself, significantly enhancing operational agility. The algorithm employs a trajectory-based framework that solves the kinodynamic motion planning problem online, accounting for the dynamic coupling between drones and the load. Real-world lab experiments demonstrated that the system achieves at least eight times greater acceleration than existing methods, enabling agile maneuvers even with complex payloads. Currently tested indoors using motion capture cameras, the team aims to adapt the technology for outdoor use, targeting applications in remote construction, agriculture, and search and rescue. The autonomous drones require