• DocumentCode
    2693049
  • Title

    A novel allocation-based formation algorithm for swarm of micro-scaled particles

  • Author

    Chen, Haoyao ; Chen, Jian ; Sun, Dong

  • Author_Institution
    Dept. of Mech. Eng. & Autom., Harbin Inst. of Technol., Shenzhen, China
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    1664
  • Lastpage
    1669
  • Abstract
    This paper presents a novel formation framework for the manipulation of micro-scaled particles with robotics and optical tweezers technologies. An allocation-based formation algorithm is used to calculate particles´ trajectories. Along the trajectories, particles are trapped and moved by optical tweezers. Particles can be gradually moved into a pre-defined formation array. The main contribution of this paper lies in the proposal of using multi-agent solution to address the formation problem of particles in micro environment. The proposed framework can be applied to many bio-applications, such as cell sorting, cell transportation, cell-to-cell interaction study, etc., with high throughput and precision. Experiments on micro-scaled particles, with a robot-tweezer manipulation system, are performed to demonstrate the effectiveness of the proposed approach.
  • Keywords
    micromanipulators; multi-robot systems; particle swarm optimisation; position control; radiation pressure; allocation-based formation algorithm; cell sorting; cell transportation; cell-to-cell interaction study; formation framework; formation problem; micro environment; microscaled particles; multiagent solution; optical tweezers technology; particles trajectory; predefined formation array; robot-tweezer manipulation system; robotics; Arrays; Biomedical optical imaging; Charge carrier processes; Resource management; Robots; Silicon compounds; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5979906
  • Filename
    5979906