Delft科学家创建了一种无人机算法,用于在风中和障碍物中进行稳定的、无传感器的货物运输。 Delft scientists created a drone algorithm for stable, sensor-free cargo transport in wind and obstacles.

TU Delft的科学家开发了一种算法,使多架无人驾驶飞机能够利用电缆自动携带重负载,实时调整位置以保持稳定性和定向,即使在风中或使用移动有效载荷也是如此。 Scientists at TU Delft have developed an algorithm enabling multiple drones to autonomously carry heavy loads using cables, adjusting positions in real time to maintain stability and orientation even in wind or with moving payloads. 该系统在装货时没有传感器,而且速度快,适应性强,在室内成功地进行了测试,有多达4架无人驾驶飞机在穿越障碍物和模拟风。 The system works without sensors on the load, is fast and adaptable, and was successfully tested indoors with up to four drones navigating obstacles and simulated wind. 研究人员旨在使其适应户外使用,并有可能在建筑、农业、搜索和救援以及近海基础设施维护等方面应用。 Researchers aim to adapt it for outdoor use, with potential applications in construction, agriculture, search and rescue, and offshore infrastructure maintenance. 研究结果发表在《科学机器人学》中。 The findings were published in Science Robotics.