|Table of Contents|

Rapid-Exploring Random Tree Algorithm for Path Planning of Robot Based on Grid Method(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2007年02期
Page:
58-61
Research Field:
Publishing date:

Info

Title:
Rapid-Exploring Random Tree Algorithm for Path Planning of Robot Based on Grid Method
Author(s):
Guo HaitaoZhu QingbaoXu Shoujiang
School of Mathematics and Computer Science,Nanjing Normal University,Nanjing 210097,China
Keywords:
robot path planning rap idly-explo ring random tree gr id m ethod
PACS:
TP242
DOI:
-
Abstract:
A new rapid-explor ing random tree a lgo rithm for path plann ing of robo t based on gr id me thod is proposed to p lan an optim al path formob ile robo t in com plex env ironment. The algorithm exp lo res the space and add a new node to a random tree in w hich tha t roo t node is the position o f robo t until the leaf node o f the tree conta ins the goa l node. The path com posed from the edges o f the in itia l node to the goa l node is w he re the robot wa lk by. It is tested that the pro posed algor ithm is m ore effec tive than GA and A* under the sam e env ironm ent. The sim ulation results illustra te tha t the proposed algor ithm can be used to so lv e the path p lann ing fo rm ob ile robo t even in the random com plex env iron- m en t the robot can avo id the obstac les sa fely by the path ga ined by the new algor ithm.

References:

[ 1] Nearchou A C. Path p lann ing of a m ob ile robot using gene tic heur istics [ J]. Robo tica, 1998, 16( 5): 575- 588.
[ 2] 罗熊, 樊晓平, 易晟, 等. 具有大量不规则障碍物的环境下机器人路径规划的一种新型遗传算法[ J]. 机器人, 2004, 26( 1): 11- 16.
Luo X iong, Fan X iaoping, Y i Sheng. A nove l genetic algorithm fo r robot path plann ing in env ironment conta ining large numbers o f Irregu la r obstac les[ J]. Robot, 2004, 26( 1): 11- 16. ( in Ch inese)
[ 3] 孙树栋, 林茂. 基于遗传算法的多移动机器人协调路径规划[ J]. 自动化学报, 2000, 26( 5): 673- 676.
Sun Shudong, L inM ao. Pa th planning o f m ulti m ob ile robots us ing genetic a lgo rithm s[ J]. A cta Au tom atica S inica, 2000, 26( 5): 673- 676. ( in Chinese)
[ 4] D Am ico A, Ippo litiG, Longhi S. A rad ia l basis function networks approach for the tracking problem ofm obile robots[ C ] / /Pro- ceedings of the IEEE /ASM E Interna tiona l Con ference on Advanced Inte lligentM echatron ics. Com o, Ita ly, 2001, 1: 498- 503.
[ 5] A llan R W illm s, Sim on X. Neura l netwo rk approaches to dynam ic co llis ion-free robo t tra jec to ry generation[ J]. IEEE T rans Syst M an, Cybern, 2001, 31( 3): 302- 318.
[ 6] Yang S X, M axM. An effic ient neural netw ork approach to dynam ic robo tm otion planning[ J]. Neura lNetw orks, 2000, 13( 2): 143- 148.
[ 7] Ka ren I Trova to, Leo Dorst. D ifferen tia lA* [ J]. IEEE Transactions on Know ledge and Data Eng ineering, 2002, 14( 6): 1 218 - 1 229.
[ 8] Bruce J, Ve loso M. Rea l-tim e random ized path p lann ing fo r robo t nav iga tion[ C] / /Proceedings for the IEEE /RSJ Inte rnational Con ference on Intelligent Robots and System. EPFL, Lausanne, Sw itzerland, 2002, 3: 2 383- 2 388.
[ 9] Peng Cheng, S tevenM LaVa lle. Reso lution comp le te rapid ly-explor ing random trees[ C ] / /IEEE Interna tiona l Conference on Robo tics and Automa tion. W ashing ton, 2002: 267- 272.
[ 10] 张美玉, 黄翰, 郝志峰, 等. 基于蚁群算法的机器人路径规划[ J]. 计算机工程与应用, 2005, 41( 9): 34- 37.
ZhangM e iyu, H uangH an, H ao Zh ifeng, et a.l M o tion planning of autonom ous m ob ile robo t based on ant co lony algor ithm [ J]. Compu ter Eng ineer ing and App lications, 2005, 41( 9): 34- 37. ( in Ch inese)

Memo

Memo:
-
Last Update: 2013-04-29