• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Pang, Tao (Pang, Tao.) | Ruan, Xiaogang (Ruan, Xiaogang.) | Wang, Ershen (Wang, Ershen.) | Fan, Ruiyuan (Fan, Ruiyuan.)

收录:

CPCI-S Scopus

摘要:

For the path planning problem of search and rescue robot in unknown environment, a bionic learning algorithm was proposed. The GSOM (Growing Self-organizing Map) algorithm was used to build the environment cognitive map. The heuristic search A* algorithm was used to find the global optimal path from initial state to target state. When the local environment was changed, reinforcement learning algorithm based on sensor information was used to guide the search and rescue robot behavior of local path planning. Simulation results show the method effectiveness.

关键词:

search and rescue robot path planning cognitive map autonomous exploration

作者机构:

  • [ 1 ] [Pang, Tao]BJUT, Inst Artificial Intelligence & Robots, Beijing 100124, Peoples R China
  • [ 2 ] [Ruan, Xiaogang]BJUT, Inst Artificial Intelligence & Robots, Beijing 100124, Peoples R China
  • [ 3 ] [Fan, Ruiyuan]BJUT, Inst Artificial Intelligence & Robots, Beijing 100124, Peoples R China
  • [ 4 ] [Pang, Tao]SAU, Coll Elect & Informat Engn, Shenyang 110136, Peoples R China
  • [ 5 ] [Wang, Ershen]SAU, Coll Elect & Informat Engn, Shenyang 110136, Peoples R China

通讯作者信息:

查看成果更多字段

相关关键词:

相关文章:

来源 :

INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4

ISSN: 1660-9336

年份: 2013

卷: 241-244

页码: 1682-,

被引次数:

WoS核心集被引频次:

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 0

归属院系:

在线人数/总访问数:340/4976922
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司