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Benchmark Concept for Industrial Pick&Place Applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354056" target="_blank" >RIV/68407700:21230/21:00354056 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1088/1757-899X/1140/1/012014" target="_blank" >https://doi.org/10.1088/1757-899X/1140/1/012014</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1757-899X/1140/1/012014" target="_blank" >10.1088/1757-899X/1140/1/012014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Benchmark Concept for Industrial Pick&Place Applications

  • Original language description

    Robotic grasping and manipulation is a highly active research field. Typical solutions are usually composed of several modules, e.g. object detection, grasp selection and motion planning. However, from an industrial point of view, it is not clear which solutions can be readily used and how individual components affect each other. Benchmarks used in research are often designed with simplified settings in a very specific scenario, disregarding the peculiarities of the industrial environment. Performance in real-world applications is therefore likely to differ from benchmark results. In this paper, we present a concept for the design of general Pick&Place benchmarks, which help practitioners to evaluate the system and its components for an industrial scenario. The user specifies the workspace (obstacles, movable objects), the robot (kinematics, etc.) and chooses from a set of methods to realize a desired task. Our proposed framework executes the workflow in a physics simulation to determine a range of system-level performance measures. Furthermore, it provides introspective insights for the performance of individual components.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GJ19-22555Y" target="_blank" >GJ19-22555Y: Sampling-based planning of actions and motions using approximate solutions</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MMM 2021: Proceedings of the Modern Materials and Manufacturing

  • ISBN

  • ISSN

    1757-899X

  • e-ISSN

    1757-899X

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IOPscience

  • Place of publication

    Madeira

  • Event location

    Tallinn

  • Event date

    Apr 27, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article