MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments

Michael R. Jones, Soufiene Djahel, Kristopher Welsh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces an original multi destination path planning approach for Unmanned Aerial Vehicles (UAVs) named MQTPP (Multi Q-Table Path Planning). MQTPP aims to reduce the computational burden of cyclical/continuous path planning through a Q-learning planning process whilst overcoming the fixed path origin problem. The preliminary performance evaluation results indicate that MQTPP performs well for longer paths, and allows for more efficient re-planning should mission objectives or environmental topography change.

Original languageEnglish
Title of host publication2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages457-460
Number of pages4
ISBN (Electronic)9781665431613
ISBN (Print)9781665431620
DOIs
Publication statusPublished - 10 Feb 2022
Externally publishedYes
Event19th IEEE Annual Consumer Communications and Networking Conference - Virtual, Online, United States
Duration: 8 Jan 202211 Jan 2022
Conference number: 19

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
PublisherIEEE
ISSN (Print)2331-9852
ISSN (Electronic)2331-9860

Conference

Conference19th IEEE Annual Consumer Communications and Networking Conference
Abbreviated titleCCNC 2022
Country/TerritoryUnited States
CityVirtual, Online
Period8/01/2211/01/22

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