Paper Title:
Virtual Force Field Integrated with Human Avoiding Obstacles Strategies for Robot
  Abstract

Humanoid strategies of avoiding obstacles were analyzed and formulated into virtual force field (VFF) algorithm. In view of obstacles moving, smoothing accumulation computing method was designed for updating credibility factors (CF) of grid held by obstacle, and two examples were given. Uncertainty reasoning was adopted for computing complex CF with uncertainty of sensors signal, and synthesize method was designed. The weight of repulsive force was designed to be varying with angle from robot moving direction to obstacles, in order to make robot more sensitivity to obstacles on moving way. Indoor and outdoor virtual environment were established and simulations were carried out. The results demonstrate that the path is better using proposed than common VFF.

  Info
Periodical
Edited by
Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie
Pages
1071-1076
DOI
10.4028/www.scientific.net/AMM.16-19.1071
Citation
Y. L. Jin, B. R. Wang, "Virtual Force Field Integrated with Human Avoiding Obstacles Strategies for Robot", Applied Mechanics and Materials, Vols. 16-19, pp. 1071-1076, 2009
Online since
October 2009
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Price
$32.00
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