scholarly journals Object Detection Applied to Indoor Environments for Mobile Robot Navigation

Sensors ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 1180 ◽  
Author(s):  
Alejandra Hernández ◽  
Clara Gómez ◽  
Jonathan Crespo ◽  
Ramón Barber
Keyword(s):  
Mobile Robot ◽  
Object Detection ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Indoor Environments

Using Passive RFID Technology for Mobile Robot Navigation and Environment Mapping

2007 ◽  
Author(s):  
Annalisa Milella ◽  
Paolo Vanadia ◽  
Grazia Cicirelli ◽  
Arcangelo Distante
Keyword(s):  
Mobile Robot ◽  
Radio Frequency Identification ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Rfid Tags ◽  
Indoor Environments ◽  
Rf Antennas ◽  
Frequency Identification ◽  
Novel Method ◽  
Passive Rfid

In this paper, the use of passive Radio Frequency Identification (RFID) as a support technology for mobile robot navigation and environment mapping is investigated. A novel method for localizing passive RFID tags in a geometric map of the environment using fuzzy logic is, first, described. Then, it is shown how a mobile robot equipped with RF antennas, RF reader, and a laser range finder can use such map for localization and path planning. Experimental results from tests performed in our institute suggest that the proposed approach is accurate in mapping RFID tags and can be effectively used for vehicle navigation in indoor environments.

scholarly journals Mobile Robot Navigation in Indoor Environments: Geometric, Topological, and Semantic Navigation

2019 ◽  
Author(s):  
Ramón Barber ◽  
Jonathan Crespo ◽  
Clara Gómez ◽  
Alejandra C. Hernámdez ◽  
Marina Galli
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Indoor Environments

Mobile Robot Navigation in Indoor Environments Using Highways and Off-Roads

1995 ◽  
Vol 28 (11) ◽  
pp. 187-192
Author(s):  
Gert L. Andersen ◽  
Anders C. Christensen ◽  
Ole Ravn
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Indoor Environments

Various Robotic Applications of Perturbation/Correlation Method

2002 ◽  
Author(s):  
Byunghoon Chung ◽  
Peter Knuepfer ◽  
Sooyong Lee
Keyword(s):  
Image Processing ◽  
Mobile Robot ◽  
Object Detection ◽  
Obstacle Avoidance ◽  
Robot Navigation ◽  
Single Point ◽  
Correlation Method ◽  
Mobile Robot Navigation ◽  
Novel Technique ◽  
Robotic Applications

We propose a novel technique for acquiring effective information for obstacle avoidance in mobile robot navigation and for object detection in vision image. Instead of simply receiving data at a single point, we actively give perturbations to the system and measure the response from the system. Correlating the input and the output, we can formulate the correlation function and, useful information such as gradient can be obtained from this function. This algorithm is applied to the obstacle avoidance in mobile robot navigation and the object detection in vision image processing.

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