The task of maximizing coverage using multiple robots has several applications such as
surveillance, exploration, and environmental monitoring. A major challenge of deploying …

Coverage path planning is a major application for mobile robots, which requires robots to
move along a planned path to cover the entire map. For large-scale tasks, multirobot …

The line coverage problem is the coverage of linear environment features (eg, road
networks, power lines), modeled as 1D segments, by one or more robots while respecting …

One of the main applications of mobile robots is coverage: visiting each location in known
terrain. Coverage is crucial for lawn mowing, cleaning, harvesting, search-and-rescue …

Coverage path planning (CPP) is the problem of finding a path that covers the entire free
space of a confined area, with applications ranging from robotic lawn mowing to search-and …

The efficiency of path-planning in robot navigation is crucial in tasks such as search-and-
rescue and disaster surveying, but this is emphasized even more when considering multi …

We investigate time-optimal Multi-Robot Coverage Path Planning (MCPP) for both
unweighted and weighted terrains, which aims to minimize the coverage time, defined as the …

This article proposes a novel approach based on a bioinspired neural network (BIN) for
multirobot area coverage search in unknown environments. We obtain the dynamic …

Simultaneous environment coverage represents a challenging multi-agent application, in
which mobile agents (drones) must cover surfaces by simultaneously capturing images from …

Multiple robots collaboratively achieve a common coverage goal efficiently, which can
improve work capacity, share coverage tasks, and reduce completion time. In this paper, a …