Multi-UAV Autonomous Obstacle Avoidance Based on Reinforcement Learning

Obstacle avoidance is a necessary behaviour to ensure the safety of UAV. In this paper, aiming at the problem of autonomous learning and obstacle avoidance of multiple UAVs in the multi-obstacle map environment, an obstacle avoidance method of UAVs based on an improved reward deep Q learning network...

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Bibliographic Details

Published in:	Chinese Control Conference pp. 8657 - 8661
Main Authors:	Li, Zheng, Li, Jinna, Wang, Yanhui
Format:	Conference Proceeding
Language:	English
Published:	Technical Committee on Control Theory, Chinese Association of Automation 24.07.2023
Subjects:	Adaptation models Autonomous aerial vehicles Decision making DQN Improved reward evaluation strategy Multi-UAV obstacle avoidance algorithm Neural networks Q-learning Simulation Solid modeling
ISSN:	1934-1768
Online Access:	Get full text
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