Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alaa Hassan Shabeeb"'
Publikováno v:
Al-Khawarizmi Engineering Journal, Vol 18, Iss 2 (2022)
تعد مشكلة تخطيط المسار من بين المشكلات الأكثر أهمية في مجال أبحاث الروبوتات. نظرًا لأنه مرتبط بإيجاد طريق آمن وفعال في بيئة مزدحمة للروبو
Externí odkaz:
https://doaj.org/article/ac31b525b54246cc8976eeb7f9e9a047
Publikováno v:
Engineering and Technology Journal, Vol 34, Iss 7A, Pp 1473-1482 (2016)
The present work deals with the mathematical modeling and analysis of machining response such as the surface roughness in the milling of aluminum alloy (AA6061). There are several machiningvariableslikerotational speed, depth of cut and feed rate use
Externí odkaz:
https://doaj.org/article/acc4fcc4210b464caf36a2b4c62398e2
Autor:
Alaa Hassan Shabeeb, Laith A. Mohammed
Publikováno v:
Engineering and Technology Journal, Vol 33, Iss 9A, Pp 2094-2106 (2015)
This work proposes a close form solution algorithm to solve the inverse kinematics for a five degree of freedom (DOF) robot manipulator, close form solution is preferable to numerical solutions because analytical ones yield complete solutions and are
Externí odkaz:
https://doaj.org/article/d7e94c256c58421cb2feb48e8f3ddfc2
Publikováno v:
Engineering and Technology Journal, Vol 33, Iss 4A, Pp 776-787 (2015)
Robot trajectory generation for spray painting have highly demand in modern manufacturing. One of the most common surfaces in spray painting operations is ruled surfaces. In this paper, a geometry based spray paint trajectory generation system for ru
Externí odkaz:
https://doaj.org/article/b53723c63c43465887e209822da885ae
Autor:
Alaa Hassan Shabeeb, Laith A. Mohammed
Publikováno v:
Engineering and Technology Journal, Vol 32, Iss 3, Pp 617-628 (2014)
In this paper, a forward kinematics problem is concerned with the relationship between the individual joint of robot arm and the position and orientation of the tool or end-effector. The standard Denavit_Hartenberg(D-H) analytical scheme is applied t
Externí odkaz:
https://doaj.org/article/8eacd29e22084e27956c492c02db7343
Publikováno v:
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, Vol 10, Iss 1, Pp 44-55 (2019)
Non-traditional machining process is more used to manufacture geometrically complicated and an accurate parts for electronics, aerospace and automotive industries. Chemical machining process is one of non-traditional machining methods, it is as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ec119749f730830ce42f8409bff558
https://doi.org/10.30572/2018/kje/100104
https://doi.org/10.30572/2018/kje/100104
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 928:022006
This paper discusses our research in developing a track planner for a mobile robot using a swarm intelligence technique for optimal track planning in a short computational time to achieve better results in track planning. Through this technique, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f1116f4817ed8f83a7f0caa8673434e
https://doi.org/10.1088/1757-899x/928/2/022006
https://doi.org/10.1088/1757-899x/928/2/022006
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 928:022005
Motion planning is an important domain since its performance can significantly affect the utilization of robots. This paper addresses our work to developing a path planner for wheeled a mobile robot using a swarm Intelligence technique for optimal pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45bdd19dd555f04e98434afe0307f94d
https://doi.org/10.1088/1757-899x/928/2/022005
https://doi.org/10.1088/1757-899x/928/2/022005
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 881:012047
Motion planning is an important topic for researchers working in the field of autonomous robots, it finds an optimal feasible path from start to target point with avoiding the collision, this paper aims to improve motion planning of mobile robot by p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::161917db1b973b482743871f379c371a
https://doi.org/10.1088/1757-899x/881/1/012047
https://doi.org/10.1088/1757-899x/881/1/012047