Workspace Analysis of a Mobile Robot System for the Ship Section Painting

2021 ◽  
pp. 716-727
Author(s):  
Shan Zhang ◽  
Jinbo Qie ◽  
Zhufeng Shao ◽  
Zheng Sun
2021 ◽  
Author(s):  
Yue Meng ◽  
Ziqi Zhao ◽  
Weinan Chen ◽  
Xiao Xiao ◽  
Max Q.-H. Meng

Author(s):  
Zheng Xiao

Background: In order to study the interference of wired transmission mode on robot motion, a mobile robot attitude calculation and debugging system based on radio frequency (RF) technology is proposed. Methods: Microcontroller STM32 has been used as the control core for the attitude information of the robot by using MEMS gyroscope and accelerometer. The optimal attitude Angle of the robot is calculated through nRF24L01 which is the core of the wireless communication module, attitude acquisition module and wireless data communication upper computer application platform. Results: The results shows that the positioning accuracy is better than±5mm. Conclusion: The experimental results show that the proposed attitude solving and debugging system of mobile robot based on RF technology has better reliability and real-time performance. The propped model is convenient for debugging of mobile robot system and has certain engineering application value.


2006 ◽  
Vol 23 (6-7) ◽  
pp. 441-459 ◽  
Author(s):  
Patric Jensfelt ◽  
Gunnar Gullstrand ◽  
Erik Förell
Keyword(s):  

Author(s):  
Xin Feng ◽  
Steven A. Velinsky

Abstract This paper describes the application of multimedia and virtual reality technology to a multiple wheeled mobile robot system. The system is designed for teleoperation of a variety of highway maintenance and construction tasks, such as automated highway pavement crack sealing. Each robot is tethered to a support truck through linkages, and has its own embedded controller for motion control and posture sensing. A host computer is dedicated to communicate with the robots and to provide a multimedia interface to the operator. A video camera is mounted above the robots’ workspace and live video is taken to the host computer’s video capture card which supports video overlay. The live video of the robot workspace is then overlaid on the robots’ control window and provides an augmented reality for crack detection, path planning, and robot monitoring. By mapping live video on the computer generated interactive robot animation, the operator can simply control any robot through finger motion on a touch screen. The host computer can also provide a virtual environment providing the operator with a sense that he is sitting on the robot, allowing the robot to be easily controlled with a joystick. This paper shows the manner in which fast growing and inexpensive multimedia PC technology, virtual reality concepts, and the newest programming tools like Visual C++ 4.0 and OpenGL 1.1 for Windows 95/NT can be used to build an integrated interactive monitoring and control interface allowing ease in teleoperation of a multiple robot system thus significantly improving operational performance.


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