scholarly journals Contextual Awareness in a WSN/RFID Fusion Navigation System

ISRN Robotics ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Guillermo Enriquez ◽  
Sunhong Park ◽  
Shuji Hashimoto
Keyword(s):  
Navigation System ◽  
Potential Field ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Autonomous Mobile Robot ◽  
Fusion Algorithm ◽  
Improve Accuracy ◽  
Contextual Awareness ◽  
Passive Rfid ◽  
Insight Into

We present insight into how contextual awareness can be derived from, and improve, a fusion algorithm combing a WSN and a passive RFID for autonomous mobile robot navigation. Contextual awareness of not where the robot is, but rather the context in which it exists in relation to the environment and human user serves to improve accuracy in navigation, alters the speed of the robot, and modifies its behavior. The WSN system, using a virtual potential field, provides fast general navigation in open areas and the RFID provides precision navigation near static obstacles and in narrow areas. We verified the effectiveness of our approaches through navigational and guidance experiments.

scholarly journals Autonomous Mobile Robot Navigation System

2015 ◽  
Author(s):  
B.Prem Kumar ◽  
M. Sai Suman ◽  
D. Paul Samuel ◽  
V. Pillai Vishal Vadivel ◽  
Praghash K. ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Navigation System ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Autonomous Mobile Robot

scholarly journals GA-based Optimisation of a LiDAR Feedback Autonomous Mobile Robot Navigation System

2018 ◽  
Vol 7 (3) ◽  
pp. 433-441
Author(s):  
Siti Nurhafizah Anual ◽  
Mohd Faisal Ibrahim ◽  
Nurhana Ibrahim ◽  
Aini Hussain ◽  
Mohd Marzuki Mustafa ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Navigation System ◽  
Robot Navigation ◽  
Fitness Function ◽  
Autonomous Mobile Robots ◽  
Mobile Robot Navigation ◽  
Autonomous Mobile Robot ◽  
Indoor Mobile Robot ◽  
Real Hardware ◽  
Autonomous Robot Navigation

Autonomous mobile robots require an efficient navigation system in order to navigate from one location to another location fast and safe without hitting static or dynamic obstacles. A light-detection-and-ranging (LiDAR) based autonomous robot navigation is a multi-component navigation system consists of various parameters to be configured. With such structure and sometimes involving conflicting parameters, the process of determining the best configuration for the system is a non-trivial task. This work presents an optimisation method using Genetic algorithm (GA) to configure such navigation system with tuned parameters automatically. The proposed method can optimise parameters of a few components in a navigation system concurrently. The representation of chromosome and fitness function of GA for this specific robotic problem are discussed. The experimental results from simulation and real hardware show that the optimised navigation system outperforms a manually-tuned navigation system of an indoor mobile robot in terms of navigation time.

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