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

Precision agriculture is the collection of hardware and software technologies that allow a
farmer to make informed, differentiated decisions regarding agricultural operations such as …

This article considers the problem of motion coordination for a multiagent (MA) network
whose goal is to track a large-scale multitarget (MT) system in a region populated by …

Multi-robot teams are becoming an increasingly popular approach for information gathering
in large geographic areas, with applications in precision agriculture, surveying the aftermath …

In this work, we propose a blockchain-based solution for securing robot-to-robot
communication for a task with a high socioeconomic impact—information gathering. The …

In a gas distribution map** (GDM) task, the objective of a mobile robot is to map the gas
concentrations of an airborne chemical over a region of interest using onboard sensing …

In today's era of automation, mobile robots are being used for collecting meaningful
information about an ambient phenomenon such as temperature or moisture distribution in …

The movement of a mobile sensor has a critical impact on the information gathered from the
area of interest, as well as the quality of the estimate that a model can build from the …

Multi-robot teams are an increasingly popular approach for information gathering in large
geographic areas, with applications in precision agriculture, natural disaster aftermath …