Drones play an important role in the development of remote sensing and intelligent
surveillance. Due to limited onboard computational resources, drone-based object detection …

The timely and effective detection of forest fires is crucial for environmental and socio-
economic protection. Existing deep learning models struggle to balance accuracy and a …

Given the limited computing capabilities of UAV terminal equipment, there is a challenge in
balancing the accuracy and computational cost when deploying the target detection model …

With the promotion of smart grid construction work, the use of high‐precision and high‐
efficiency substation inspection robot has become the development trend of substation …

Autonomous robot exploration has received widespread attention as a crucial step in
constructing maps for unknown environments. Among the research results in the field of …

Recently, object detection based on deep neural network has become the mainstream
research direction of sweeping robots since different obstacles may produce completely …

Marine organism detection is a significant topic in the rational development and utilization of
ocean resources. Due to the low computational ability of underwater vehicles, large-scale …

The intelligent operation mode decision scheme has been proved to be a promising solution
for enhancing the cleaning performance of cleaning robots. In this paper, we propose a …

针对现有室内目标检测算法, 存在结构复杂, 计算量以及模型参数量过大等问题,
难以部署到计算能力有限的室内机器人平台, 实现高效的目标检测. 为解决这一问题 …

Cleaning robots have been widely used in our daily life, achieving huge success in the
service robot sector. The autonomous movement and decision-making of these robots …