Multi-agent deep reinforcement learning for multi-robot applications: A survey
J Orr, A Dutta - Sensors, 2023 - mdpi.com
Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …
example fields in which these successes have taken place include mathematics, games …
Multi-robot information gathering for precision agriculture: Current state, scope, and challenges
Precision agriculture is the collection of hardware and software technologies that allow a
farmer to make informed, differentiated decisions regarding agricultural operations such as …
farmer to make informed, differentiated decisions regarding agricultural operations such as …
Multi-agent distributed optimal control for tracking large-scale multi-target systems in dynamic environments
AZ Abdulghafoor, E Bakolas - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
whose goal is to track a large-scale multitarget (MT) system in a region populated by …
Secure multi-robot information sampling with periodic and opportunistic connectivity
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 large geographic areas, with applications in precision agriculture, surveying the aftermath …
Energy-Efficient Blockchain-Enabled Multi-Robot Coordination for Information Gathering: Theory and Experiments
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 …
communication for a task with a high socioeconomic impact—information gathering. The …
GDM-Net: Gas Distribution Map** with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression
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 …
concentrations of an airborne chemical over a region of interest using onboard sensing …
Robotic Information Gathering via Deep Generative Inpainting
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 …
information about an ambient phenomenon such as temperature or moisture distribution in …
Exploring the Tradeoffs Between Systematic and Random Exploration in Mobile Sensors
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 …
area of interest, as well as the quality of the estimate that a model can build from the …
[BOOK][B] Secure Multi-Robot Adaptive Information Sampling with Continuous, Periodic and Opportunistic Connectivity
T Khatib - 2022 - search.proquest.com
Multi-robot teams are an increasingly popular approach for information gathering in large
geographic areas, with applications in precision agriculture, natural disaster aftermath …
geographic areas, with applications in precision agriculture, natural disaster aftermath …