• DocumentCode
    165282
  • Title

    Poster abstract: Cyborg-insect networks for mapping of unknown environments

  • Author

    Dirafzoon, Alireza ; Bethhauser, Joseph ; Schornick, Jeff ; Cole, Jeremy ; Bozkurt, Alican ; Lobaton, Edgar

  • Author_Institution
    North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2014
  • fDate
    14-17 April 2014
  • Firstpage
    216
  • Lastpage
    216
  • Abstract
    Cyborg-insect networks are systems that take advantage of existing biological platforms such as cockroaches [2] by attaching small instrumented payloads for sensing and motion control. These agents can be used in applications such as mapping and exploration of environment for emergency response (e.g., search and rescue operations after earthquakes, tsunamis, hurricanes, etc.) These agents can gain access to locations that may not be reachable otherwise by moving underground through smaller locations. The power limitations of such platforms place restrictions on sensing, communication, and motion control. Hence, traditional mapping and exploration techniques may not perform well under these adverse conditions. We propose a robust approach to obtain a topological map of an unknown environment using the coordinate free sensory data obtained from these cyborg-insect networks. In order to minimize control input, we take advantage of the natural behavior of insects in order to estimate a topological model of the environment based only on neighbor-to-neighbor interactions.
  • Keywords
    mobile robots; motion control; path planning; biological platforms; cockroaches; communication; control input; coordinate free sensory data; cyborg-insect networks; emergency response; motion control; neighbor-to-neighbor interactions; topological map; Feature extraction; Measurement; Motion control; Robot kinematics; Robot sensing systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems (ICCPS), 2014 ACM/IEEE International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-4931-1
  • Type

    conf

  • DOI
    10.1109/ICCPS.2014.6843729
  • Filename
    6843729