RRT-based 3D Path Planning for Formation Landing of Quadrotor

Yiqun Dong, Changhong Fu, Erdal Kayacan

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

23 Citations (Scopus)

Abstract

This paper discusses the formation landing problem of quadrotor UAVs, which is considered as a UAV leader-follower problem, avoiding static obstacles. Rapidly-exploring random tree algorithm is used to generate the path for the leader UAV firstly. In particular, specifics of tree-grow including nodes selection, parent node connection, feasible and optimal path generation are explained. Given the leader UAV position, path finding for the follower UAV is conducted to avoid both static obstacles and the leader quadrotor. Based on the intensive simulations, which are conducted in ROS-Gazebo environment, the proposed framework is considered to be applicable in real-time formation landing of quadrotor UAVs.

Original languageEnglish
Title of host publication2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Number of pages6
PublisherIEEE
Publication dateNov 2016
Pages1-6
Article number7838567
ISBN (Print)978-1-5090-3549-6
ISBN (Electronic)9781509035496
DOIs
Publication statusPublished - Nov 2016
Externally publishedYes
Event14th International Conference on Control, Automation, Robotics and Vision - Duangjitt Resort & Spa, Phuket, Thailand
Duration: 13 Nov 201615 Nov 2016
http://icarcv.org/2016/home.asp

Conference

Conference14th International Conference on Control, Automation, Robotics and Vision
LocationDuangjitt Resort & Spa
Country/TerritoryThailand
CityPhuket
Period13/11/201615/11/2016
Internet address

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