Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

We propose a dual-resolution scheme to achieve time-efficient autonomous exploration with
one or many robots. The scheme maintains a high-resolution local map of the robot's …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

To date, a large number of algorithms to solve the problem of autonomous exploration and
map** has been presented. However, few efforts have been made to compare these …

Exploration of initially unknown environments is an online task in which autonomous mobile
robots coordinate themselves to efficiently discover free spaces and obstacles. Several …

This letter presents a complete framework Meeting-Merging-Mission for multi-robot
exploration under communication restriction. Considering communication is limited in both …

The use of 3D LiDAR, which has proven its capabilities in autonomous driving systems, is
now expanding into many other fields. The sharing and transmission of point cloud data from …

Communication is an important capability for multi-robot exploration because (1) inter-robot
communication (comms) improves coverage efficiency and (2) robot-to-base comms …

The area of research presented in this chapter focuses on swarm robotics, which is a
particular domain of multi-robot systems (MRS) that embodies the mechanisms of swarm …

This article addresses a new cooperative localization problem for a team of mobile robots
subject to limited communication resources. First, we develop a decentralized event …