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Trajectory Optimization for Distributed Manipulation by Shaping a Physical Field

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00366840" target="_blank" >RIV/68407700:21230/23:00366840 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICRA48891.2023.10160720" target="_blank" >http://dx.doi.org/10.1109/ICRA48891.2023.10160720</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICRA48891.2023.10160720" target="_blank" >10.1109/ICRA48891.2023.10160720</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Trajectory Optimization for Distributed Manipulation by Shaping a Physical Field

  • Original language description

    Trajectory optimization is used to solve various planning tasks. In this paper we present a optimization-based method that solves a planning problem for multiple independent objects manipulated by a spatially continuous physical field. The field is generated and controlled (shaped) in real time by an array of actuators. In the paper we first formulate a trajectory optimization problem and a related initialization scheme, and then we demonstrate the proposed method using an experimental platform for distributed magnetic manipulation. The demonstrated task is that of planar reconfiguration of an ensemble of multiple objects, which significantly benefits from the inherent parallelism of the manipulation enabled by the array of actuators shaping the physical field. We show that the system can rearrange up to eight objects simultaneously while avoiding collisions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2023 IEEE International Conference on Robotics and Automation

  • ISBN

    979-8-3503-2365-8

  • ISSN

    1050-4729

  • e-ISSN

    2577-087X

  • Number of pages

    7

  • Pages from-to

    10111-10117

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Londýn

  • Event date

    May 29, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001048371102113