Efficient exploration of unknown environments is a fundamental precondition for modern
autonomous mobile robot applications. Aiming to design robust and effective robotic …

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 …

Unmanned aerial vehicles (UAVs) have drawn increased research interest in recent years,
leading to a vast number of applications, such as, terrain exploration, disaster assistance …

We present a method for efficiently exploring highly convoluted environments. The method
incorporates two planning stages-an exploration stage for extending the boundary of the …

This study addresses a view-path-planning problem during 3-D scanning of a large-scale
structure based on multiview stereo (MVS) for unmanned aerial platforms. Recently, most …

This article proposes an autonomous aerial exploration framework for traversable path
finding of ground robots in unknown environments to achieve a fast response in search and …

In this article, a novel informative autonomous exploration strategy with uniform sampling is
proposed to efficiently reduce the unknown volume of 3-D environments and provide an …

随着微型空中机器人技术的迅速发展, 利用小型旋翼无人机对目标环境进行自主覆盖与探索成为
当前机器人领域的研究热点. 鉴于此, 首先对机器人环境覆盖规划与探索规划的研究内容进行 …

Autonomous exploration in unknown environments is a fundamental task of Unmanned
Aerial Vehicles (UAVs). To choose exploration goals wisely, we propose an information …

The building of map model is crucial to the efficiency of unmanned ground vehicles'(UGVs)
navigation and robust place recognition. This article presents an online semantic-assisted …