The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Simultaneous localization and mapping responds to the problem of building a map of the
environment without any prior information and based on the data obtained from one or more …

Climate change has introduced significant challenges that can affect multiple sectors,
including the agricultural one. In particular, according to the Food and Agriculture …

Agriculture is a vital sector in developing nations such as India, and the use of autonomous
vehicles and Internet of Things (IoT) technology has the potential to revolutionize farming …

This paper presents a novel strategy for autonomous graph-based exploration path planning
in subterranean environments. Attuned to the fact that subterranean settings, such as …

This paper presents a novel path planning strategy for fast and agile exploration using aerial
robots. Tailored to the combined need for large-scale exploration of challenging and …

Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors
for various applications. The reason for this success can be found in many aspects: the high …

针对复杂低空物流无人机路径规划问题, 考虑空域环境, 运输任务等内外限制, 以飞行时间,
能耗及危险度最小为目标函数, 建立多限制条件物流无人机路径规划模型 …

Autonomous navigation of microaerial vehicles in environments that are simultaneously
GPS‐denied and visually degraded, and especially in the dark, texture‐less and dust‐or …

The increasing need for food in recent years means that environmental protection and
sustainable agriculture are necessary. For this, smart agricultural systems and autonomous …