• DocumentCode
    49483
  • Title

    Adaptive Coordinating Construction of Truss Structures Using Distributed Equal-Mass Partitioning

  • Author

    Seung-kook Yun ; Rus, Daniela

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    30
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    188
  • Lastpage
    202
  • Abstract
    This paper presents a decentralized algorithm for the coordinated assembly of 3-D objects that consist of multiple types of parts, using a networked team of robots. We describe the algorithm and analyze its convergence and adaptation properties. We partition construction in two tasks: tool delivery and assembly. Each task is performed by a networked team of specialized robots. We analyze the performance of the algorithms using the balls into bins problem and show their adaptation to failure of robots, dynamic constraints, multiple types of elements, and reconfiguration. We instantiate the algorithm to building truss-like objects using rods and connectors. We implement the algorithm in simulation and show results to construct 2-D and 3-D parts. Finally, we describe hardware implementation of the algorithms, where mobile manipulators assemble smart parts with IR beacons.
  • Keywords
    construction; distributed control; industrial manipulators; rods (structures); supports; 3-D objects; IR beacons; adaptive coordinating construction; connectors; decentralized algorithm; distributed equal-mass partitioning; dynamic constraints; mobile manipulators; rods; specialized robots; truss structures; Assembly; Cost function; Heuristic algorithms; Partitioning algorithms; Robot kinematics; Robotic assembly; Distributed robot systems; path planning for multiple mobile robot systems; robotics in construction;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2013.2279643
  • Filename
    6631486