Field coverage is a representative exploration task that has many applications ranging from
household chores to navigating harsh and dangerous environments. Autonomous mobile …

Multi-robot environmental coverage can be widely used in many applications like search
and rescue. However, it is challenging to coordinate the robot team for high coverage …

This paper addresses the problem of optimally covering a domain when the scalar function
that describes the relative importance of the points in the domain is initially unknown. We …

Planning coverage path for multiple robots in a decentralized way enhances robustness to
coverage tasks handling uncertain malfunctions. To achieve high efficiency in a distributed …

Coverage path planning is an important problem with numerous practical applications. Many
solutions to this problem have been proposed over the past few years. However, most …

Coverage of a partially known workspace for information gathering is the core problem for
several applications, such as search and rescue, precision agriculture and monitoring of …

This paper demonstrates novel Complete Coverage Path Planning using reinforcement
learning to enable a robot to complete map coverage at high speeds in complicated …

This paper considers a multi-target coverage problem where a robot team aims to efficiently
cover multi-targets while maintaining connectivity in a distributed manner. A novel …

For massive large-scale tasks, a multi-robot system (MRS) can effectively improve efficiency
by utilizing each robot's different capabilities, mobility, and functionality. In this letter, we …

This paper addresses the complete area coverage problem of a known environment by
multiple-robots. Complete area coverage is the problem of moving an end-effector over all …