Trajectory Planning of Multiple Unmanned Aerial Vehicles on MAPPO

Jun Fang, Xiaohang Wu, Shunmin Li, Aijun Li, Yong Guo

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

Abstract

A cooperative trajectory planning algorithm of Multiple unmanned aerial vehicles (UAVs) based on Multi-Agent Proximal Policy Optimization (MAPPO) has been proposed for the three-dimensional cooperative trajectory planning. Firstly, considering the constraints of cooperative trajectory planning and the battlefield environment, a three-dimensional cooperative trajectory planning model is established. Secondly, based on the established trajectory planning model, the state space, action space, and reward function are designed to implement cooperative trajectory planning. Finally, simulation is carried out to verify that the planned trajectory satisfies the environmental and spatial cooperative constraints and is flyable.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 17
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages287-297
Number of pages11
ISBN (Print)9789819622634
DOIs
StatePublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1353 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Cooperative trajectory planning
  • MAPPO algorithm
  • Multiple unmanned aerial vehicles

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