Paper Title:
The Research on Path Planning of Wall Climbing Robot Based on Ant Colony Algorithm and Minimum Gravity Consumption Algorithm
  Abstract

Wall climbing robot is widely studied and used in a lot of industries such as cleaning, nuclear industry, construction industry and fire department due to the character of working on vertical wall. It is adopted because it can work in the dangerous space instead of people. The paper mainly studies path planning of wall climbing robot. Firstly, the paper demonstrates path planning of wall climbing robot on the plane conditions using basic ant colony algorithm and improved ant colony algorithm. Secondly, the paper proposes the minimum gravity consumption algorithm to execute path planning on the vertical wall. At last, the paper makes path planning with the fusion of ant colony algorithm and the minimum gravity consumption algorithm. The simulation shows that the algorithms are effective.

  Info
Periodical
Edited by
Ran Chen
Pages
414-424
DOI
10.4028/www.scientific.net/AMM.44-47.414
Citation
J. Liu, J. Xiao, X. Z. Sha, "The Research on Path Planning of Wall Climbing Robot Based on Ant Colony Algorithm and Minimum Gravity Consumption Algorithm", Applied Mechanics and Materials, Vols. 44-47, pp. 414-424, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Pin Yang Rao
Chapter 4: NEMS/MEMS Technology and Equipment
Abstract:The torsion bar is one of the major parts of converter tilting mechanism and is widely used for light weight, large energy stored in unit...
295
Authors: Teodora Gîrbacia, Gheorghe Mogan
Chapter 6: Robotics
Abstract:In this paper we present a method of reducing the computational complexity necessary in path planning for a car-like robot in order to...
471