Human Cognition and Vision Based Earlier Path Determination System for Indoor Mobile Robot Path Planning

Nithya, N.; Selvi, D. Tamil

doi:10.1007/978-3-319-08422-0_104

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…However, with the increase of time, the error of angle deviation will continue to increase, which will not provide the indoor mobile robot with more correct numerical information. The odometer can correct the angle through a specific calculation method when the angle deviation is large, so as to keep the error around the zero-reference line, which is basically consistent with the results of indoor mobile robot route deviation angle measurement using the above methods in the relevant literature [19]. However, in this study, the relevant literature has not been referenced to measure the deviation angle of other routes of indoor mobile robot, which needs to be solved in follow-up research.…”

Section: Deviation Angle Of Square Route Movement Of Indoor Mobile Robotsupporting

confidence: 79%

Monitoring and Positioning Method of Indoor Mobile Robot Using Wireless Network

2020

IJOMAM

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The objective of this study is to realize the monitoring, positioning and route planning of indoor mobile robot, so that the brain of indoor mobile robot can form the route planning map in different environments, and finally achieve the best route navigation of indoor mobile robot. In this study, the ultra-wideband (UWB) wireless network location method of indoor mobile robot is proposed with laser pulse ranging method to measure the positioning distance of indoor mobile robots. Secondly, the trilateral positioning method is used to measure the position of the starting node to several known ending nodes, to estimate the position of the starting node of the indoor mobile robot. Finally, gyroscopes and odometers are used to measure the rectangular and U-shaped motion of indoor mobile robots. The results show that the sampling frequency of 50Hz UWB wireless network is used to collect offline information about the mobile indoor robot. After the information data is processed, the measurement noise covariance matrix can be obtained, and finally, the expected target can be obtained, and the positioning distance measurement of indoor mobile robot can be realized. When the robot glides along the rectangular road with a starting point of (2.48, 2.15) and the U-shaped road with a starting point of (7.16, 6.31) at a constant speed, its UWB measurement values basically jump near the route. At the same time, there will be noise, and the density of the numerical results is relatively low, which means that the UWB can find a stable direction for the indoor mobile robot, but it is unable to measure the path angle deviation of the robot. The deviation angles of the robot rectangular route are 90°, 180°, 270° and 360° respectively. The deviation angle error of gyroscope will increase with the increase of robot moving time. The deviation angle errors of the rectangular and U-shaped routes measured by the odometer are kept around the 0 reference line, which indicates that compared with the gyroscope, the odometer can correct the angle by the specific calculation method when the angle deviation is large, so as to keep the error around the 0 reference line. The results can provide a practical basis for indoor mobile robot to monitor and locate accurately through wireless network.

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Section: Deviation Angle Of Square Route Movement Of Indoor Mobile Robotsupporting

confidence: 79%