Dynamic path planning of unknown environment has always been a challenge for mobile robots.In this paper, we apply double Q-network (DDQN) deep reinforcement learning proposed by DeepMind in 2016 to dynamic path planning of unknown environment.The reward and punishment function and the training method are designed for the Patio Umbrella Base instab
Increased microclimatic variation in artificial nests does not create ecological traps for a secondary cavity breeder, the European roller
Abstract Artificial devices are increasingly used in conservation Lipo 6 measures to mitigate the disappearance of natural habitats.However, few studies have demonstrated their benefits for the target species, and they may pose a risk of creating ecological traps.This occurs when lower individual fitness is found in artificial habitats that are mor
Perturbation Analysis of a Multiple Layer Guided Love Wave Sensor in a Viscoelastic Environment
Surface acoustic wave sensors have the advantage of fast response, low-cost, and wireless interfacing capability and they have been used in the medical analysis, material characterization, and other application fields that immerse the device under a liquid environment.The theoretical analysis of the single guided layer shear horizontal acoustic wav
Water mites (Acari, Hydrachnidia) of riparian springs in a small lowland river valley: what are the key factors for species distribution?
This paper examines the impact of disturbance factors—flooding and intermittency—on the distribution of water mites in the riparian springs Trifle Bowl situated in the valley of a small lowland river, the Kr?piel.The landscape factors and physicochemical parameters of the water were analysed in order to gain an understanding of the pattern of w