[ 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.
[2]
[ 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.
[3]
[ 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.
[4]
[ 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.
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)
[7]
[ 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.
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)
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)
[12]
[ 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.
[13]
[ 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.
