An intelligent vision localization system of a service robot nao

Author(s):  
Song Peipei ◽  
Li Wenyu ◽  
Yang Ningjia ◽  
Duan Feng

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 448 ◽  
Author(s):  
Xiaohao Hu ◽  
Zai Luo ◽  
Wensong Jiang

Aiming at the problems of low localization accuracy and complicated localization methods of the automatic guided vehicle (AGV) in the current automatic storage and transportation process, a combined localization method based on the ultra-wideband (UWB) and the visual guidance is proposed. Both the UWB localization method and the monocular vision localization method are applied to the indoor location of the AGV. According to the corner points of an ArUco code fixed on the AGV body, the monocular vision localization method can solve the pose information of the AGV by the PnP algorithm in real-time. As an auxiliary localization method, the UWB localization method is called to locate the AGV coordinates. The distance from the tag on the AGV body to the surrounding anchors is measured by the time of flight (TOF) ranging algorithm, and the actual coordinates of the AGV are calculated by the trilateral centroid localization algorithm. Then, the localization data of the UWB is corrected by the mean compensation method to obtain a consistent and accurate localization trajectory. The experiment result shows that this localization system has an error of 15mm, which meets the needs of AGV location in the process of automated storage and transportation.



2013 ◽  
Vol 19 (12) ◽  
pp. 3491-3495
Author(s):  
Ming Li ◽  
Zhonghua Liu ◽  
K. Imou


Author(s):  
Cătălin Buiu

This paper describes a stereo-vision-based mobile robot that can navigate and explore its environment autonomously and safely and simultaneously building a tridimensional virtual map of the environment. The control strategy is rule-based and the interaction with robot is done via Bluetooth. The stereoscopic vision allows the robot to recognize objects and to determine the distance to the analyzed objects. The robot is able to generate and simultaneously update a full colour 3D map of the environment that is being explored. The position and type of each detected and recognized object is marked in this 3D map. Furthermore, the robot will be able to use a gripper in order to collect detected objects and carry them to dedicated collecting bins, and so will be able to work in commercial waste cleanup applications. This application represents a successful integration of computers, control and communication techniques in mobile service robot control.



Author(s):  
P. Dutkiewicz ◽  
M. Kiełczewski ◽  
K. Kozłowski ◽  
D. Pazderski


1997 ◽  
Vol 21 (S_2_PMRC_97_2) ◽  
pp. S2_257-260 ◽  
Author(s):  
Rainer ARNOLD


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