Autonomous exploration is an important application of multi-vehicle systems, where a team
of networked robots are coordinated to explore an unknown environment collaboratively …

Semantic segmentation is a fundamental capability for autonomous vehicles. With the
advancements of deep learning technologies, many effective semantic segmentation …

Abstract Purpose of Review Multi-robot exploration—ie, the problem of mapping unknown
features of an environment—is fundamental in many tasks, including search and rescue …

In this study, an autonomous robot navigation system is designed for live working on
distribution line. The developed system features a real‐time detection and motion planning …

Collaborative exploration in an unknown environment without external positioning under
limited communication is an essential task for multi-robot applications. For inter-robot …

The adoption of robotics is promising to improve the efficiency, quality, and safety of
prefabricated construction. Besides technologies that improve the capability of a single …

With the introduction of autonomy into the precision agriculture process, environmental
exploration, disaster response, and other fields, one of the global demands is to navigate …

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 …

Reliable trajectory planning like human drivers in real-world dynamic urban environments is
a critical capability for autonomous driving. To this end, we develop a vision and imitation …

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 …