Ellips Masehian

Dr. Ellips Masehian

California State Polytechnic University, Pomona, California, USA
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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2015 in Computer-Aided Design
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Journal Article
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SGSomayé Ghandi
Somayé Ghandi
Ellips MasehianEllips Masehian
Ellips Masehian

1 January 2009 in International Journal of Computer Theory and Engineering
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Journal Article
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DSDavoud Sedighizadeh
Davoud Sedighizadeh
Ellips MasehianEllips Masehian
Ellips Masehian

17 May 2004 in Journal of Robotic Systems
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Journal Article
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Ellips MasehianEllips Masehian
Ellips Masehian
MAM. R. Amin‐Naseri
M. R. Amin‐Naseri

1 January 2010
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Conference Paper
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Ellips MasehianEllips Masehian
Ellips Masehian
DSDavoud Sedighizadeh
Davoud Sedighizadeh
In this paper a novel method is presented for robot motion planning with respect to two objectives, the shortest and smoothest path criteria. A Particle Swarm Optimization (PSO) algorithm is employed for global path planning, while the Probabilistic Roadmap method (PRM) is used for obstacle avoidance (local planning). The two objective functions are incorporated in the PSO equations in which the path smoothness is measured by the difference of the angles of the hypothetical lines connecting the robot's two successive positions to its goal. The PSO and PRM are combined by adding good PSO particles as auxiliary nodes to the random nodes generated by the PRM. The proposed algorithm is compared in path length and runtime with the mere PRM method searched by Dijkstra's algorithm, and the results showed that the generated paths are shorter and smoother and are calculated in less time.

18 June 2015 in Journal of Intelligent & Robotic Systems
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HAHossein Ahmadzadeh
Hossein Ahmadzadeh
Ellips MasehianEllips Masehian
Ellips Masehian
MAMasoud Asadpour
Masoud Asadpour

1 June 2015 in Artificial Intelligence
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Journal Article
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HAHossein Ahmadzadeh
Hossein Ahmadzadeh
Ellips MasehianEllips Masehian
Ellips Masehian