scholarly journals Application of combination of neural networks and fuzzy logic in planning of mobile robot motion in unknown environment

2019 ◽  
Author(s):  
Andrius Nemeiksis ◽  
Vitalijs Osadcuks
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Mobile Robot ◽  
Robot Motion ◽  
Unknown Environment

scholarly journals Fuzzy Logic Controller sebagai Penentu Gerak Mobile Robot Pembasmi Hama

2020 ◽  
Vol 1 (01) ◽  
pp. 19-24
Author(s):  
Muhammad Ridho Kenawas ◽  
Pola Risma ◽  
Tresna Dewi ◽  
Selamet Muslimin ◽  
Yurni Oktarina
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
High Speed ◽  
Fuzzy Logic Controller ◽  
Pulse Width Modulation ◽  
Robot Motion ◽  
Crop Failure ◽  
Driving System ◽  
Dc Motors ◽  
Autonomous Decision

A mobile robot is one of the solutions to overcome crop failure caused by chili pests. The mobile robot discussed in this paper is used to spray pesticide liquid into chili plant stems to prevent pests attack on the plants. This paper discusses the design of pesticide spraying robot motion with the application of Fuzzy Logic Controller. This robot employment is expected to reduce farmers' workload and to help to produce a good harvest.  Robot motions are divided into two conditions, which can be controlled by remote control as a controller (manual) and by means of a sensor (automatic). Mobile robot movements have a significant impact on navigation and the design of the driving system. Robot speed is controller by adjusting Pulse Width Modulation of DC motors attached to the robots' wheel, which set to be  90 for slow and 220  for high speed. The Fuzzy Logic Controller in this mobile robot functions as an autonomous decision-making driver to detect obstacles in front of the mobile robot and the targeted stems.

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