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Path Planning Control for Mobile Robot
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Autonomous motion planning is important area of robotics research. This type of planning relieves human operator from tedious job of motion planning. This reduces the possibility of human error and increase efficiency of whole process.

This research presents a new algorithm to plan path for autonomous mobile robot based on image processing techniques by using wireless camera that provides the desired image for the unknown environment . The proposed algorithm is applied on this image to obtain a optimal path for the robot. It is based on the observation and analysis of the obstacles that lying in the straight path between the start and the goal point by detecting these obstacles, analyzing and studying their shapes, positions and points of intersection with the straight path to find the nearly optimal path which connects the start and the goal point.

This work has theoretical part and experimental part.

The theoretical part includes building a MATLAB program which is applied to environment image to find the nearly optimal path .MATLAB - C++.NET interface is accomplished then to supply the path information for C++.NET program which is done for programming the pioneer mobile robot to achieve the desired path.

The experimental part includes using wireless camera that takes an image for the environment and send it to the computer which processes this image and sends ( by wireless connection ) the resulted path information to robot  which programmed in C++.NET program to walk according to this path.

So, the overall system can be represented by:

Wireless camera – computer – wireless connection for the mobile robot .

The experimental work including some experiments shows that the developed mobile robot (pioneer p3-dx ) travels successfully  from the start point and reach the goal point across the optimal path (according to time and power) which is obtained as result of the proposed path planning algorithm introduced in this paper.

 

 

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Publication Date
Mon Dec 14 2020
Journal Name
Baghdad Science Journal
Smart Flow Steering Agent for End-to-End Delay Improvement in Software-Defined Networks
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Crossref (3)
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Publication Date
Thu Oct 01 2009
Journal Name
Journal Of The College Of Languages (jcl)
Computer-assisted Programme for the Teaching of the English Syllable in RP Allophonic Pronunciation
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Native speakers of English from different parts of the world have different accents,but the differences of accents are mainly the result of differences in the sound of  vowels  and consonants . The actual use of all these sounds in combination leads the speaker to produce a number of segments which only appear on the production level and realized on the perceptual  one . RP pronunciation represents the teachable variety in all Iraqi universities because it is the most acceptable and understandable accent all over the world and not only in South East London ..The structure of the English syllable in RP  pronunciation is influenced by the appearance of certain allophones especially aspiration and glottalization which ch

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Publication Date
Sun Jun 04 2017
Journal Name
Baghdad Science Journal
The efficiency of some plant extracts for growth inhibition of Candida albicans and Trichophytonmentagrophytes
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Plant extracts occupied a big place in diseases treatment and preserving human health because, they contain many active substances that can be exploited in the field of pharmaceutical manufacturing from natural materials. Therefore, this study was conducted to evaluate the effect of different concentrations of plant extracts for each of Nigella sativa, Alliumsativum and Allium cepa against the fungal growth of Candida albicans that cause many skin diseases and infections to humans as well as Trichophyton mentagrophytes, which affects the hair, skin and nails. These two fungi have been isolated and diagnosed from people who have skin infection. Both fungal isolates were treated with extracts of Nigella sativa, Alliumsativum and Allium cepa

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Publication Date
Mon Jun 27 2022
Journal Name
Acs Omega
Development of Biodegradable/Biocompatible Nanoliposome-Encapsulated Antimicrobial Essential Oils for Topical Creams and Gels
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Publication Date
Thu Dec 04 2014
Journal Name
Engineering And Technology Journal
Optimization of the Time Required for Determination of the Total Dissolved Salts in Soil ‫
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Publication Date
Wed Jan 01 2020
Journal Name
Medico-legal Update
Flexible ureterorenoscopy versus extracorporeal shock wave lithotripsy for treatment of lower pole renal stones
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Scopus (1)
Scopus
Publication Date
Sat Oct 31 2020
Journal Name
International Journal Of Psychosocial Rehabilitation
Attitudes of mothers towards over the counter antibiotics for their children in Baghdad city
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Publication Date
Mon Apr 17 2023
Journal Name
International Journal Of Veterinary Science And Medicine
Donor variability of ovine bone marrow derived mesenchymal stem cell - implications for cell therapy
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Crossref (7)
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Publication Date
Wed Feb 22 2023
Journal Name
Iraqi Journal Of Science
Evaluation the Biosorption Capacity of Water Hyacinth (Eichhornia crassipes) Root for Some Heavy Metals
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Heavy metals especially lead (Pb), cadmium (Cd), chromium (Cr) and copper (Cu) are noxious pollutants with immense health hazards on living organisms, these pollutants enter aquatic environment in Iraq mainly Tigris and Euphrates rivers via waste water came from different anthropological activities, This study investigated capacity of dried and ground root of water hyacinth (Eichhornia crassipes) in removing the heavy metals from their aqueous solutions. Effects of initial concentrations of the heavy metals and pH of their aqueous solutions were studied. Results of this study revealed excellent biosorption capacity of water hyacinth root in general, removal of Pb was the highest and Cr was lowest. The results showed that the Pb, Cu and C

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Publication Date
Wed Jan 01 2014
Journal Name
International Journal Of Computer Applications
Enhancing the Delta Training Rule for a Single Layer Feedforward Heteroassociative Memory Neural Network
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In this paper, an algorithm is suggested to train a single layer feedforward neural network to function as a heteroassociative memory. This algorithm enhances the ability of the memory to recall the stored patterns when partially described noisy inputs patterns are presented. The algorithm relies on adapting the standard delta rule by introducing new terms, first order term and second order term to it. Results show that the heteroassociative neural network trained with this algorithm perfectly recalls the desired stored pattern when 1.6% and 3.2% special partially described noisy inputs patterns are presented.