1D virtual force field algorithm for reflexive local path planning of mobile robots

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 po...

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Veröffentlicht in:Electronics letters 2014-09, Vol.50 (20), p.1429-1430
Hauptverfasser: Choe, Tok-Son, Park, Jin-Bae, Joo, Sang-Hyun, Park, Yong-Woon
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container_end_page 1430
container_issue 20
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container_title Electronics letters
container_volume 50
creator Choe, Tok-Son
Park, Jin-Bae
Joo, Sang-Hyun
Park, Yong-Woon
description 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.
doi_str_mv 10.1049/el.2014.2787
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subjects 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
title 1D virtual force field algorithm for reflexive local path planning of mobile robots
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