• DocumentCode
    1233649
  • Title

    Nonlinear Kalman Filtering for Force-Controlled Robot Tasks-[Book review; T. Lefebvre, H. Bruyninckx, and J. De Schutter]

  • Author

    Skaar, Steven B.

  • Volume
    52
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    583
  • Lastpage
    583
  • Abstract
    This book focuses on using nonlinear Kalman filtering for force-controlled robot tasks. It examines using a robotic arm to execute contact formation (CF) tasks without vision. The authors give an extensive tutorial discussion of alternate strategies for accomplishing these objectives, and they settle on the nonminimal state Kalman Filter to conduct the group of positioning experiments presented to the reader. The resulting experiments are persuasive and interesting. The authors believe that solving this class of problems effectively will be an important step in bringing into widespread use service and other robots. The literature pertaining to contact and force control is extensive and not entirely represented in this book. It seems likely, however, that judicious estimation/decision schemes such as those presented may be the best real-world hope of dealing with these problems.
  • Keywords
    Biological tissues; Book reviews; Filtering; Force sensors; Humans; Kalman filters; Layout; Probability density function; Robot sensing systems; Robot vision systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2007.892390
  • Filename
    4132897