Robot cooking — transferring observations into a planning language: an automated approach in the field of cooking

  • The recognition of human activities from video sequences and their transformation into a machine-readable form is a challenging task, which is the subject of many studies. The goal of this project is to develop an automated method for analyzing, identifying and processing motion capture data into a planning language. This is performed in a cooking scenario by recording the pose of the acting hand. First, predefined side actions are detected in the dataset using classification. The remaining frames are then clustered into main actions. Using this information, the known initial positions and virtual object tracking, a machine-readable planning domain definition language (PDDL) is generated.

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Metadaten
Author:Markus Schmitz, Florian Menz, Ruben Grunau, Nils MandischerORCiDGND, Mathias Hüsing, Burkhard Corves
URN:urn:nbn:de:bvb:384-opus4-1178676
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117867
ISSN:2673-4117OPAC
Parent Title (English):eng
Publisher:MDPI
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2025/01/07
Volume:4
Issue:4
First Page:2514
Last Page:2524
DOI:https://doi.org/10.3390/eng4040143
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Ingenieurinformatik mit Schwerpunkt Mechatronik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 60 Technik / 600 Technik, Technologie
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)