WiFi RSS fingerprint database construction for mobile robot indoor positioning system

2016 ◽  
Author(s):  
A.H. Ismail ◽  
H. Kitagawa ◽  
R. Tasaki ◽  
K. Terashima
Keyword(s):  
Mobile Robot ◽  
Indoor Positioning ◽  
Positioning System ◽  
Database Construction ◽  
Fingerprint Database ◽  
Indoor Positioning System

scholarly journals Mobile Robot Indoor Positioning System Based on K-ELM

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Haixia Wang ◽  
Junliang Li ◽  
Wei Cui ◽  
Xiao Lu ◽  
Zhiguo Zhang ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Indoor Localization ◽  
Indoor Positioning ◽  
Positioning System ◽  
Positioning Accuracy ◽  
Positioning Method ◽  
Kernel Extreme Learning Machine ◽  
Learning Machine ◽  
Positioning Algorithm ◽  
Indoor Positioning System

Mobile Robot Indoor Positioning System has wide application in the industry and home automation field. Unfortunately, existing mobile robot indoor positioning methods often suffer from poor positioning accuracy, system instability, and need for extra installation efforts. In this paper, we propose a novel positioning system which applies the centralized positioning method into the mobile robot, in which real-time positioning is achieved via interactions between ARM and computer. We apply the Kernel extreme learning machine (K-ELM) algorithm as our positioning algorithm after comparing four different algorithms in simulation experiments. Real-world indoor localization experiments are conducted, and the results demonstrate that the proposed system can not only improve positioning accuracy but also greatly reduce the installation efforts since our system solely relies on Wi-Fi devices.

scholarly journals AutoDock-IPS: An Automated Docking for Mobile Robot Based on Indoor Positioning System

2021 ◽  
Vol 5 (1) ◽  
pp. 32-39
Author(s):  
Dimas Aditya Putra Wardhana ◽  
Dedid Cahya Happyanto ◽  
Era Purwanto ◽  
Gilang Ekavigo Astafil Akbar ◽  
Karisma Trinanda Putra
Keyword(s):  
Mobile Robot ◽  
Indoor Positioning ◽  
Positioning System ◽  
Human Errors ◽  
Docking Method ◽  
Automatic Docking ◽  
Automated Docking ◽  
Charging Stations ◽  
Indoor Positioning System ◽  
Computerized System

Mobile robots are proven to be reliable in supporting the human tasks by using a computerized system that minimizes human errors. However, recharging the battery in these robots is still performed manually by the user. Therefore, to extend their lifetime, an indoor automatic docking system ‘AutoDock-IPS’ is created for mobile robot to charge its battery automatically. The automatic docking system determines the location of the docks (i.e., charging stations) so that, prototype can immediately navigate to them. Experiments were carried out to validate the docking method by utilizing a compass module as a direction sensor and a rotary encoder as a displacement indicator. These sensors are combined into a robust indoor positioning system. The results show that the prototype can find the fastest route to the docking station to perform battery charging procedure.

The Design of Mobile Indoor Robot Guidance System

2018 ◽  
Vol 5 (1) ◽  
pp. 30-34
Author(s):  
Dhanny Kurniawan Haryanto ◽  
Kanisius Karyono ◽  
Samuel Hutagalung
Keyword(s):  
Mobile Robot ◽  
Global Position System ◽  
Indoor Positioning ◽  
Magnetic Sensor ◽  
Guidance System ◽  
Shopping Mall ◽  
Positioning System ◽  
Dc Motors ◽  
The Disabled ◽  
Indoor Positioning System

The mobile indoor robot guidance system is a mobile robot which can assist users to find the desired position or location indoor or inside particular shed where Global Position System (GPS) failed to perform. Robot guidance system has many features in order to make the system useful for all of the users. The type of user who can make use of this system is mostly the disabled user and the user which is unfamiliar with the environment or the map. There is also potential usage inside the shopping mall or the big office spaces with the capability of displaying the advertisement during guidance process. This work deploys robot guidance system using geo-magnetic and Wifi methods for Indoor Positioning System (IPS). Although DC motors can generate interference to the magnetic sensor, the proper shields are adequate for the system. The metal shields for the DC motor can minimize the deviation from 6.41n T or about 16.74% for non-shielding motors to 2.86 n T or about 10.56%. Based on this research, mobile indoor robot guidance system can be implemented using various methods of IPS including geo-magnetic.

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