Autonomous Mobile Robot Exploration in Negative Obstacle Environment

被引:0
|
作者
Keskin, Numan [1 ]
Uslu, Erkan [1 ]
Cakmak, Furkan [1 ]
Altuntas, Nihal [1 ]
Amasyali, M. Fatih [1 ]
Yavuz, Sirma [1 ]
机构
[1] Yildiz Tekn Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年
关键词
2D localization; 3D mapping; 2D navigation; 2D exploration; OctoMap; autonomous mobile robot; negative obstacles;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Restricted 3D simultaneous localization and mapping (SLAM) can be achived in an environment that has negative and positive obstacles, using a 2D SLAM and a 3D mapping together. Exploration can utilize 2D navigation, which uses a 2D map constructed with respect to 3D map obstacles both negative and positive, and free areas. Robocup, Rescue League, Exploration 4 competition is designed to measure real platform autonomous mobile robot exploration capabilities in an negative obstacle scene. In this paper aforementioned exploration approach is implemented in a simulation environment created in Gazebo similar to Exploration 4 arena, using Robot Operating System (ROS).
引用
收藏
页数:4
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