Online map building evolutionary algorithm for multi-agent mobile robots with odometric uncertainty

2002 ◽  
Author(s):  
Yong-Jae Kim ◽  
Jong-Hwan Kim
Keyword(s):  
Mobile Robots ◽  
Evolutionary Algorithm ◽  
Map Building ◽  
Multi Agent

scholarly journals A novel edge gradient algorithm for multiple mobile robots cooperative mapping in unknown environment

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141986038
Author(s):  
Huang Yiqing ◽  
Wang Hui ◽  
Wei Lisheng ◽  
Gao Wengen ◽  
Ge Yuan
Keyword(s):  
Visual Field ◽  
Mobile Robots ◽  
Information Exchange ◽  
Field Of View ◽  
Gradient Algorithm ◽  
Movement Direction ◽  
Mapping Technique ◽  
Map Building ◽  
Multiple Mobile Robots ◽  
Motion Behavior

This article presented a cooperative mapping technique using a novel edge gradient algorithm for multiple mobile robots. The proposed edge gradient algorithm can be divided into four behaviors such as adjusting the movement direction, evaluating the safety of motion behavior, following behavior, and obstacle information exchange, which can effectively prevent multiple mobile robots falling into concave obstacle areas. Meanwhile, a visual field factor is constructed based on biological principles so that the mobile robots can have a larger field of view when moving away from obstacles. Also, the visual field factor will be narrowed due to the obstruction of the obstacle when approaching an obstacle and the obtained map-building data are more accurate. Finally, three sets of simulation and experimental results demonstrate the performance superiority of the presented algorithm.

scholarly journals Safe Navigation for Indoor Mobile Robots. Part II: Exploration, Self-Localization and Map Building

2003 ◽  
Vol 22 (12) ◽  
pp. 1019-1039 ◽  
Author(s):  
Alessandro Corrêa Victorino ◽  
Patrick Rives ◽  
Jean-Jacques Borrelly
Keyword(s):  
Mobile Robots ◽  
Map Building ◽  
Safe Navigation

Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots

2000 ◽  
pp. 120-137 ◽  
Author(s):  
Miguel Rodríguez ◽  
José Correa ◽  
Roberto Iglesias ◽  
Carlos V. Regueiro ◽  
Senén Barro
Keyword(s):  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Map Building

POSSIBILISTIC SONAR DATA MODELING FOR MOBILE ROBOTS

1999 ◽  
Vol 07 (02) ◽  
pp. 173-198 ◽  
Author(s):  
K. DEMIRLI ◽  
M. MOLHIM ◽  
A. BULGAK
Keyword(s):  
Probability Theory ◽  
Mobile Robots ◽  
Data Modeling ◽  
Possibility Theory ◽  
Sensor Design ◽  
Map Building ◽  
Sonar Sensors ◽  
New Models ◽  
Possibility Distributions ◽  
Target Characteristics

Sonar sensors are widely used in mobile robots applications such as navigation, map building, and localization. The performance of these sensors is affected by the environmental phenomena, sensor design, and target characteristics. Therefore, the readings obtained from these sensors are uncertain. This uncertainity is often modeled by using Probability Theory. However, the probablistic approach is valid when the available knowledge is precise which is not the case in sonar readings. In this paper, the behavior of sonar readings reflected from walls and corners are studied, then new models of angular uncertainty and radial imprecision for sonar readings obtained from corners and walls are proposed. These models are represented by using Possibility Theory, mainly possibility distributions.

Online glass confidence map building using laser rangefinder for mobile robots

2020 ◽  
Vol 34 (23) ◽  
pp. 1506-1521
Author(s):  
Jun Jiang ◽  
Renato Miyagusuku ◽  
Atsushi Yamashita ◽  
Hajime Asama
Keyword(s):  
Mobile Robots ◽  
Map Building ◽  
Laser Rangefinder

QMAEA: A quantum multi-agent evolutionary algorithm for multi-objective combinatorial optimization

SIMULATION ◽  
2013 ◽  
Vol 90 (2) ◽  
pp. 182-204 ◽  
Author(s):  
F Tao ◽  
Y J Laili ◽  
L Zhang ◽  
Z H Zhang ◽  
AY C Nee
Keyword(s):  
Combinatorial Optimization ◽  
Evolutionary Algorithm ◽  
Multi Objective ◽  
Multi Agent
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