• DocumentCode
    2459339
  • Title

    Collective robotics coherent behaviour for nanosystems with sensor-based neural motion

  • Author

    Cavalcanti, Adriano ; Freitas, Robert A., Jr.

  • Author_Institution
    Comput. Sci. Dept., Darmstadt Univ. of Technol., Germany
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    213
  • Lastpage
    218
  • Abstract
    The authors present a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application in medicine using collective robotics. The problem under study concentrates its main focus on autonomous control for nanorobot team coordination as a suitable way to perform a large range of tasks and assembly manipulation in a complex environment. The authors summarize distinct aspects of some techniques required to achieve a successful nano-planning system design for a large number of cooperating autonomous agents and illustrates their three dimensional visualization in real time.
  • Keywords
    assembling; cooperative systems; data visualisation; medical robotics; multi-robot systems; neural nets; real-time systems; virtual reality; advanced graphics simulation; artificial neural networks; assembly manipulation; autonomous control; collective robotics; cooperating autonomous agents; medicine; multi-robot cooperation; nano-assembly automation; nano-planning system design; nanorobot team coordination; nanosystems; real time; sensor-based neural motion; three dimensional visualization; virtual reality; Automatic control; Autonomous agents; Graphics; Medical control systems; Medical robotics; Medical simulation; Robot kinematics; Robot sensing systems; Robotic assembly; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
  • Print_ISBN
    0-7695-1733-1
  • Type

    conf

  • DOI
    10.1109/ICAIS.2002.1048090
  • Filename
    1048090