• DocumentCode
    1118277
  • Title

    A RISC approach to robotics

  • Author

    Canny, John ; Goldberg, Ken

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    1
  • Issue
    1
  • fYear
    1994
  • fDate
    3/1/1994 12:00:00 AM
  • Firstpage
    26
  • Lastpage
    28
  • Abstract
    This article describes a framework that combines simple hardware traditionally used in manufacturing with sensor-based planning and design algorithms from robotics. For repetitive assembly, the authors argue that this combination can reduce start-up and maintenance costs, increase throughput, and greatly reduce the set-up and changeover times for new products. The proposed hardware bears a close resemblance to existing "hard" automation; what is new is the application of computational methods for robust design and control of these systems, and more extensive use of (simple) sensors. Clearly this enhances the capabilities of the hardware. A less-obvious benefit is that software capability is also enhanced--algorithms for fine-motion, grasp planning and some sensing algorithms which would be intractable on a general-purpose robot work in real-time when applied to simple hardware. To describe this approach the authors chose the acronym RISC--Reduced Intricacy in Sensing and Control-by analogy with computer architecture. Analogously, the authors propose to use simple hardware elements that are coordinated by software to perform complex tasks.<>
  • Keywords
    actuators; detectors; robots; RISC; Reduced Intricacy in Sensing and Control; fine-motion; grasp planning; repetitive assembly; robotics; software capability; Algorithm design and analysis; Costs; Hardware; Manufacturing; Reduced instruction set computing; Robot kinematics; Robot sensing systems; Robotic assembly; Robotics and automation; Throughput;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/100.296454
  • Filename
    296454