论文标题
通过探索扩展基于无人机的交付服务的范围
Extending the Range of Drone-based Delivery Services by Exploration
论文作者
论文摘要
由于电池寿命有限，无人机的范围很短。我们提出了一种自适应探索技术，以利用物理结构（例如城市环境中的高建筑物和树木）来扩展无人机范围。我们的目标是通过生成无人机到达目的地的路径，同时了解路径上每个边缘上的能源消耗，以优化其未来任务的范围，以扩展无人机交付服务的覆盖范围。我们评估了勘探策略的性能，以找到城市中所有可触及的目的地的集合，并发现根据当前的能源模型探索可触及套件边界附近的位置可以加快学习过程。
Drones have a fairly short range due to their limited battery life. We propose an adaptive exploration techniques to extend the range of drones by taking advantage of physical structures such as tall buildings and trees in urban environments. Our goal is to extend the coverage of a drone delivery service by generating paths for a drone to reach its destination while learning about the energy consumption on each edge on its path in order to optimize its range for future missions. We evaluated the performance of our exploration strategy in finding the set of all reachable destinations in a city, and found that exploring locations near the boundary of the reachable sets according to the current energy model can speed up the learning process.
