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Navigation Path Based Universal Mobile Manipulator Integrated Controller (NUMMIC)

delete2022-09-28
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OA
AI
T
Tae-Hyeon Kim
M
Myunghyun Kim
S
Sungwoo Yang
D
Donghan Kim *
DOI:10.3390/s22197369delete
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摘要

摘要

En 中文
As the demand; service robots increases, a mobile manipulator robot which can per; m various tasks in a dynamic environment attracts great attention. There are some controllers that control mobile plat; m and manipulator arm simultaneously; efficient per; mance, but most of them are difficult to apply universally since they are based on only one mobile manipulator model. This lack of versatility can be a big problem because most mobile manipulator robots are made by connecting a mobile plat; m and manipulator from different companies. To overcome this problem, this paper proposes a simultaneous controller which can be applied not only to one model but also to various types of mobile manipulator robots. The proposed controller has three main characteristics, which are as follows: (1) establishing a pose that motion planning can be carried out in any position, avoiding obstacles and stopping in a stable manner at the target coordinates, (2) preventing the robot from collision with surrounding obstacles while driving, (3) defining a safety area where the manipulator does not hit the obstacles while driving and executing the manipulation accordingly. Our controller is fully compatible with Robot Operating System (ROS) and has been used successfully with three different types of mobile manipulator robots. In addition, we conduct motion planning experiments on five targets, each in two simulation worlds, and two motion planning scenarios using real robots in real-world environments. The result shows a significant improvement in time compared to existing control methods in various types of mobile manipulator and demonstrates that the controller works successfully in the real environment. The proposed controller is available on GitHub.
Keyword:
mobile manipulator
motion planning
simultaneous control
path analysis
ROS
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期刊

Sensors 封面图
Sensors
IF:
3.5
论文数:
7.2W
被引数:
20.9W

机构

K
kyung hee university
学者数:
2.3W
论文数: 2.2W
被引数: 234
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