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 language | English |
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Title of host publication | 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 457-460 |
Number of pages | 4 |
ISBN (Electronic) | 9781665431613 |
ISBN (Print) | 9781665431620 |
DOIs | |
Publication status | Published - 10 Feb 2022 |
Externally published | Yes |
Event | 19th IEEE Annual Consumer Communications and Networking Conference - Virtual, Online, United States Duration: 8 Jan 2022 → 11 Jan 2022 Conference number: 19 |
Publication series
Name | Proceedings - IEEE Consumer Communications and Networking Conference, CCNC |
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Publisher | IEEE |
ISSN (Print) | 2331-9852 |
ISSN (Electronic) | 2331-9860 |
Conference
Conference | 19th IEEE Annual Consumer Communications and Networking Conference |
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Abbreviated title | CCNC 2022 |
Country/Territory | United States |
City | Virtual, Online |
Period | 8/01/22 → 11/01/22 |