A Virtual Experiment Platform for 2D Robot Autonomous Navigation Algorithm System Based on ROS
The robot autonomous navigation algorithm system enables the robots to autonomously plan path and move to target point in an unknown environment. Researchers have done a lot of work to optimize each sub module of this system, such as localization, global planning, local planning, etc. This paper proposes a virtual experiment platform, which can quickly verify the feasibility of an user own designed sub-algorithm while the user only needs to do some simple interface configuration work. It can play an important role in accelerating the research of robot autonomous navigation algorithm system. In this paper, the specific implementation process of each part is introduced and the final running results are obtained by selecting the most common algorithm of each sub module into the platform.
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A Virtual Experiment Platform for 2D Robot Autonomous Navigation Algorithm System Based on ROS
Semantic Scholar · Computer Science · 2018
Abstract
The robot autonomous navigation algorithm system enables the robots to autonomously plan path and move to target point in an unknown environment. Researchers have done a lot of work to optimize each sub module of this system, such as localization, global planning, local planning, etc. This paper proposes a virtual experiment platform, which can quickly verify the feasibility of an user own designed sub-algorithm while the user only needs to do some simple interface configuration work. It can play an important role in accelerating the research of robot autonomous navigation algorithm system. In this paper, the specific implementation process of each part is introduced and the final running results are obtained by selecting the most common algorithm of each sub module into the platform.