期刊文献+

工业运载式机器人用激光导引仪的研究

Research of Industrial Robot Laser Navigator Instrument
下载PDF
导出
摘要 工业运载式机器人(即自动导引车)现在普遍使用的导引方式以电磁导引为主,但使用电磁导引需要在工作场所剖挖地面来埋设电缆,如果改变运输路径则还需要重新埋设电缆,给工业运载式机器人的应用带来障碍。而激光导引仪则摒弃了电磁导引的缺陷,运输路径的设定与改变只需通过无线方式传输给激光导引仪就能轻松实现,且还能通过网络实现远程设定运输路径,使得应用激光导引仪的工业运载式机器人实现自动柔性化工作。激光导引仪的工作原理是应用激光发射管发射被调制的激光束,再接收其原路返回的激光束,测量接收的一系列反射光的角度,通过建立的数学模型计算得到激光导引仪的当前位置,指导机器人按照预定路径行走,达到搬运货物从一个地方到另一个地方的目的,研究结果实现了这个目标。 A widely used approach to navigate Industrial Carrier Robots(that is,automated guided vehicle) is the electromagnetic navigation.But the use of electromagnetic navigation in the workplace needs to dig the ground to post-laid cables.If the transport path changes,it needs re-laid cables.In this case,it has much trouble to the industrial application of robots.The laser navigation system has not shortcomings of electromagnetic navigation.It can easily achieve to change and set the transport path not only through the wireless laser transmission,but also through the internet transmission path.It makes the working of the laser navigator of industrial robot more flexible.The Laser transmitter fires modulated laser beams,and receives the laser beam returned from the same route.Angles of a series of the reflected light are measured.The current position of the laser navigation system is calculated through the establishment of mathematical model.And it guides the robot in accordance with the predetermined path to complete the transfer of goods from one place to another place.The research results achieve the goal.
作者 陈虹
出处 《仪表技术》 2011年第3期49-51,共3页 Instrumentation Technology
基金 上海市科技攻关项目(025611321)
关键词 导引仪 路径 工业运载式机器人 navigator route AGV
  • 相关文献

参考文献6

二级参考文献13

  • 1张惠侨,王冰.自动导向车物料搬运技术[J].机电一体化,1996,2(2):14-17. 被引量:7
  • 2Boley D L,Sutherland K T. A rapidly converging reetwsive method for mobile robot localization [ J ]. International Journal of Robotics Research, 1998,17(10):1 027-1 039.
  • 3Shimshoni, 1 . On mobile robot localization from landmark bearings[J]. Robotics and Automation, IEEE Transactions on,2002,18(6):971- 976.
  • 4Bunschoten, R. ; Krose, B. Robust scene reconstruction from an omnidirectional vision system[J]. Robotics and Automation,IEEE Transactions on,Apr.2003,19(2) :351 - 357.
  • 5JIE H. A modal - based sound localization system and its application to robot navigation[J]. Robotics and Autonomous Systems, 1999,(27):199-209.
  • 6Mezouar, Y. ; Chaumette, F. Path planning for robust image - based control Robotics and Automation, IEEE Tratmactions on,Aug 2002,18(4) : 534- 549.
  • 7Neira J,Juan D T, Hom J,et al. Fusing Range and Inttmsity Images for Mobile Robot Localization[J]. IEEE Tran on ~cs and Automation,1999,15(1 ) :77 - 83.
  • 8Di Marco, M. ; Gamlli, A. ; Giannitrapani, A. ; Vicino, A.Simtdtaneous localization and map building for a team of cooperating robots: a set membership approach. Robotics and Automstion[ J ]. IEEE Transactions on,2003,19(2) :238 - 249.
  • 9Herbert G. Tanner, Sawas G. Loizou, and Kostas J. Kyriakopodos,Nonholonomic Navigation and Control ofCooperating Mobile Manipulators[J], IEEE Transactions on robotics and automation, 2003:19(1):53 - 64.
  • 10N Nilsson. A mobile automation[J] .An application of artificial intelligence techniques, In Proc IJCAI, 1969.

共引文献68

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部