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作者:

Zhang, Liancun (Zhang, Liancun.) | Huang, Qiang (Huang, Qiang.) | Gao, Junyao (Gao, Junyao.) | Li, Yue (Li, Yue.) | Zhang, Weimin (Zhang, Weimin.) | Wu, Liying (Wu, Liying.)

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CPCI-S

摘要:

Detection in natural disasters or man-made disasters is more and more in important for every countries. Aerial dispersal miniature robots are very suitable for carrying the task above mentioned. However, the aerial dispersal deployment mode of miniature mobile robot demands excellent anti-impact property. Moreover, another crucial problem resulted from the small volume of miniature robots is the difficulty of packing locomotion, sensing, computing and power subsystems into constrained space. To solve the problems above-mentioned, a kind of aerial dispersal miniature detection robotic system was presented in the paper. Moreover, anti-impact experiments showed that the robot has excellent capability of anti-impact. At last, the experiments also showed that the design of the miniature semi-autonomous detection robot reliable and practical.

关键词:

airborne dispenser aerial dispersal miniature detection robotic system miniature semi-autonomous detection robot anti-overload buffer mechanism anti-impat mechanical design

作者机构:

  • [ 1 ] [Zhang, Liancun]Beijing Inst Technol, Intelligent Robot Inst, Beijing 100081, Peoples R China
  • [ 2 ] [Huang, Qiang]Beijing Inst Technol, Intelligent Robot Inst, Beijing 100081, Peoples R China
  • [ 3 ] [Gao, Junyao]Beijing Inst Technol, Intelligent Robot Inst, Beijing 100081, Peoples R China
  • [ 4 ] [Li, Yue]Beijing Inst Technol, Intelligent Robot Inst, Beijing 100081, Peoples R China
  • [ 5 ] [Zhang, Weimin]Beijing Inst Technol, Intelligent Robot Inst, Beijing 100081, Peoples R China
  • [ 6 ] [Wu, Liying]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zhang, Liancun]Beijing Inst Technol, Intelligent Robot Inst, Beijing 100081, Peoples R China

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来源 :

PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION

年份: 2012

页码: 7-12

语种: 英文

被引次数:

WoS核心集被引频次: 2

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