• DocumentCode
    2031305
  • Title

    Intelligent use of attractive regions in the environment in robotic assembly

  • Author

    Qiao, Hong

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, China
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1979
  • Abstract
    Strategy investigation is a process to design the input to move the system from the initial state region to the goal state region through a series of sub-goals. In practice, all complicated tasks need to be divided into several sub-tasks. The concept of attractive region is considered for motion planning with uncertainty. It is pointed out that: (i) the concept of attractive region in strategy investigation provides a logic method in motion planning, (ii) the attractive regions can be formed in either sensor-based or sensor-less systems, (iii) the condition of existence of attractive regions in sensor-based system gives a principal in sensor selection and the commanded action based on sensory signal, (iv) the relationship of some system in physical space and its motion region in configuration space is analysed, which can be used to identify the existence of attractive regions of the system in physical space, and (v) it has been proven that (a) the attractive regions exist in all robotic assembly systems and, (b) through intelligent use of the attractive regions, high-precision robotic assembly can be easily achieved without force sensors and flexible wrists
  • Keywords
    assembling; industrial robots; path planning; attractive regions; motion planning; robotic assembly; strategy investigation; task decomposition; uncertainty; Intelligent robots; Logic; Motion analysis; Motion planning; Process design; Robotic assembly; Sensor systems; Signal processing; Strategic planning; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.972579
  • Filename
    972579