A comprehensive simulation testbench for aerial robot in dynamic scenario using gazebo-ros
计算机科学
机器人
过程(计算)
计算
实时计算
模拟
人工智能
操作系统
算法
作者
Jiangcheng Zhu,Chao Xu
标识
DOI:10.1109/cac.2017.8244165
摘要
Aerial Robot is a new category of intelligent flying machines, which combines smart aerial platform with powerful sensoring and computation capability. Due to the high uncertainty and risk exiting in flight test, simulation is important in the development process. In this paper, we propose a simulation platform with dynamic scenario, based on the Robot Operating System (ROS) and Gazebo. Multiple moving targets and obstacles are installed, while vision and laser sensor are activated as navigation setup.