All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00376308" target="_blank" >RIV/68407700:21730/24:00376308 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/IROS58592.2024.10801885" target="_blank" >https://doi.org/10.1109/IROS58592.2024.10801885</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IROS58592.2024.10801885" target="_blank" >10.1109/IROS58592.2024.10801885</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration

  • Original language description

    Assembly processes involving humans and robots are challenging scenarios because the individual activities and access to shared workspace have to be coordinated. Fixed robot programs leave no room to diverge from a fixed protocol. Working on such a process can be stressful for the user and lead to ineffective behavior or failure. We propose a novel approach of online constraint-based scheduling in a reactive execution control framework facilitating behavior trees called CoBOS. This allows the robot to adapt to uncertain events such as delayed activity completions and activity selection (by the human). The user will experience less stress as the robotic coworkers adapt their behavior to best complement the human selected activities to complete the common task. In addition to the improved working conditions, our algorithm leads to increased efficiency, even in highly uncertain scenarios. We evaluate our algorithm using a probabilistic simulation study with 56000 experiments. We outperform all baselines by a margin of 4-10%. Initial real robot experiments using a Franka Emika Panda robot and human tracking based on HTC Vive VR gloves look promising.

  • 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/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

  • ISBN

    979-8-3503-7770-5

  • ISSN

    2153-0858

  • e-ISSN

    2153-0866

  • Number of pages

    7

  • Pages from-to

    7131-7137

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Abu Dhabi

  • Event date

    Oct 14, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001411890000669