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Multi-Robot Path Planning for Mobile Sensing...
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Multi-Robot Path Planning for Mobile Sensing through Deep Reinforcement Learning

Abstract

Mobile sensing is an effective way to collect environmental data such as air quality, humidity and temperature at low costs. However, mobile robots are typically battery powered and have limited travel distances. To accelerate data collection in large geographical areas, it is beneficial to deploy multiple robots to perform tasks in parallel. In this paper, we investigate the Multi-Robot Informative Path Planning (MIPP) problem, namely, to plan …

Authors

Wei Y; Zheng R

Volume

00

Pagination

pp. 1-10

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 13, 2021

DOI

10.1109/infocom42981.2021.9488669

Name of conference

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications