NDLI: An improved artificial physics approach to multiple UAVs/UGVs heterogeneous coordination

Content Provider	Springer Nature Link
Author	Luo, QiNan Duan, HaiBin
Copyright Year	2013
Abstract	This paper proposed an improved artificial physics (AP) method to solve the autonomous navigation problem for multiple unmanned aerial vehicles (UAVs)/unmanned ground vehicles (UGVs) heterogeneous coordination in the three-dimensional space. The basic AP method has a shortcoming of easily plunging into a local optimal solution, which can result in navigation fails. To avoid the local optimum, we improved the AP method with a random scheme. In the improved AP method, random forces are used to make heterogeneous multi-UAVs/UGVs escape from local optimum and achieve global optimum. Experimental results showed that the improved AP method can achieve smoother trajectories and smaller time consumption than the basic AP method and basic potential field method (PFM).
Starting Page	2473
Ending Page	2479
Page Count	7
File Format	PDF
ISSN	16747321
Journal	Science in China Series E: Technological Sciences
Volume Number	56
Issue Number	10
e-ISSN	18691900
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-07-25
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	artificial physics heterogeneous coordination unmanned aerial vehicle (UAV) unmanned ground vehicle (UGV) autonomous navigation obstacle avoidance Engineering
Content Type	Text
Resource Type	Article
Subject	Engineering Materials Science

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An improved artificial physics approach to multiple UAVs/UGVs heterogeneous coordination