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1D virtual force field algorithm for reflexive local path planning of mobile robots
by
Park, Jin-Bae
, Joo, Sang-Hyun
, Choe, Tok-Son
, Park, Yong-Woon
in
1D‐VFF
/ 1D‐virtual force field algorithm
/ collision avoidance
/ Control engineering
/ integrated force fields
/ mobile robots
/ obstacle force field
/ OFF
/ range measurement sensor
/ reflexive local path planning
/ steering force field
/ steering systems
/ virtual steering
/ weighted virtual tangential vector
2014
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1D virtual force field algorithm for reflexive local path planning of mobile robots
by
Park, Jin-Bae
, Joo, Sang-Hyun
, Choe, Tok-Son
, Park, Yong-Woon
in
1D‐VFF
/ 1D‐virtual force field algorithm
/ collision avoidance
/ Control engineering
/ integrated force fields
/ mobile robots
/ obstacle force field
/ OFF
/ range measurement sensor
/ reflexive local path planning
/ steering force field
/ steering systems
/ virtual steering
/ weighted virtual tangential vector
2014
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
1D virtual force field algorithm for reflexive local path planning of mobile robots
by
Park, Jin-Bae
, Joo, Sang-Hyun
, Choe, Tok-Son
, Park, Yong-Woon
in
1D‐VFF
/ 1D‐virtual force field algorithm
/ collision avoidance
/ Control engineering
/ integrated force fields
/ mobile robots
/ obstacle force field
/ OFF
/ range measurement sensor
/ reflexive local path planning
/ steering force field
/ steering systems
/ virtual steering
/ weighted virtual tangential vector
2014
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1D virtual force field algorithm for reflexive local path planning of mobile robots
Journal Article
1D virtual force field algorithm for reflexive local path planning of mobile robots
2014
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Overview
A one-dimensional (1D) virtual force field (VFF) algorithm for real-time reflexive local path planning of mobile robots is proposed. The 1D-VFF is composed of the virtual steering, obstacle and integrated force fields (IFFs). The steering force field (SFF) is generated by the local or global goal position. This SFF leads a mobile robot to the goal. The obstacle force field (OFF) is created by the raw data of a range measurement sensor (RMS). By this OFF, a mobile robot avoids obstacles. The IFF is produced by combining the steering and OFFs in which weights between 0 and 1 are multiplied. Through this IFF, a final steering command by which a mobile robot reaches a goal by avoiding obstacles is generated. Various simulations compare the performance of the proposed 1D-VFF with the weighted virtual tangential vector (WVTV), which is the recently suggested local path planning method to overcome the U-shaped enclosure problem.
Publisher
The Institution of Engineering and Technology
Subject
MBRLCatalogueRelatedBooks
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