VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling

Lukas Buchner; Philipp Michael Zallinger; Karin Nachbagauer; Roman Franz Froschauer

doi:10.1109/ETFA61755.2024.10710920

VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

3 Zitate (Scopus)

Abstract

The evolution from Industry 3.0 to 5.0 has marked significant advancements in human-robot collaboration (HRC), with the latest stage emphasizing a human-centric approach that integrates robots as collaborative partners. Despite the potential of HRC, challenges such as communication barriers, safety concerns, and the complexity of dynamic interactions persist, potentially hindering optimal collaboration. To address these challenges, this research introduces a modeling approach that incorporates a detailed kinematic description of human movements within the workflow. By mapping human movements and calculating robot paths proactively, the proposed method aims to enhance interaction safety and efficiency, transitioning from reactive to proactive path planning.

Originalsprache	Englisch
Titel	2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
Redakteure/-innen	Tullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin
Herausgeber (Verlag)	IEEE
Seitenumfang	4
ISBN (elektronisch)	9798350361230
DOIs	https://doi.org/10.1109/ETFA61755.2024.10710920
Publikationsstatus	Veröffentlicht - 16 Okt. 2024
Veranstaltung	2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) - University of Padua, Padua, Italien Dauer: 10 Sep. 2024 → 13 Sep. 2024 https://2024.ieee-etfa.org/

Publikationsreihe

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)	1946-0740
ISSN (elektronisch)	1946-0759

Konferenz

Konferenz	2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
Kurztitel	ETFA
Land/Gebiet	Italien
Ort	Padua
Zeitraum	10.09.2024 → 13.09.2024
Internetadresse	https://2024.ieee-etfa.org/

Zugriff auf Dokument

10.1109/ETFA61755.2024.10710920

Andere Dateien und Links

Link zur Publikation in Scopus

1 Laufend

VRoboCoop - Vertrauensvolle Mensch-Roboter Kollaboration
Froschauer, R. F. (Leitende(r) Forscher/-in), Nachbagauer, K. (CoPI), Schichl, T. (Weitere Forschende), Buchner, L. (Weitere Forschende) & Zallinger, P. M. (Weitere Forschende)
IBW/EFRE & JTF 2021-2027
01.04.2024 → 31.12.2028
Projekt: Forschungsprojekt

1 Vortrag

VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling
Buchner, L. (Redner*in)
11 Sep. 2024
Aktivität: Gespräch oder Vortrag › Vortrag

Zitieren

Buchner, L., Zallinger, P. M., Nachbagauer, K., & Froschauer, R. F. (2024). VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling. in T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter, & F. Tramarin (Hrsg.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). IEEE. https://doi.org/10.1109/ETFA61755.2024.10710920

Buchner, Lukas ; Zallinger, Philipp Michael ; Nachbagauer, Karin et al. / VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. Hrsg. / Tullio Facchinetti ; Angelo Cenedese ; Lucia Lo Bello ; Stefano Vitturi ; Thilo Sauter ; Federico Tramarin. IEEE, 2024. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

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title = "VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling",

abstract = "The evolution from Industry 3.0 to 5.0 has marked significant advancements in human-robot collaboration (HRC), with the latest stage emphasizing a human-centric approach that integrates robots as collaborative partners. Despite the potential of HRC, challenges such as communication barriers, safety concerns, and the complexity of dynamic interactions persist, potentially hindering optimal collaboration. To address these challenges, this research introduces a modeling approach that incorporates a detailed kinematic description of human movements within the workflow. By mapping human movements and calculating robot paths proactively, the proposed method aims to enhance interaction safety and efficiency, transitioning from reactive to proactive path planning. ",

keywords = "Human-robot collaboration, Workflow modeling, Proactive Path Planning",

author = "Lukas Buchner and Zallinger, \{Philipp Michael\} and Karin Nachbagauer and Froschauer, \{Roman Franz\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) ; Conference date: 10-09-2024 Through 13-09-2024",

year = "2024",

month = oct,

day = "16",

doi = "10.1109/ETFA61755.2024.10710920",

language = "English",

series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

publisher = "IEEE",

editor = "Tullio Facchinetti and Angelo Cenedese and Bello, \{Lucia Lo\} and Stefano Vitturi and Thilo Sauter and Federico Tramarin",

booktitle = "2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024",

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}

Buchner, L , Zallinger, PM , Nachbagauer, K & Froschauer, RF 2024, VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling. in T Facchinetti, A Cenedese, LL Bello, S Vitturi, T Sauter & F Tramarin (Hrsg.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, IEEE, 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padua, Italien, 10.09.2024. https://doi.org/10.1109/ETFA61755.2024.10710920

VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling. / Buchner, Lukas ; Zallinger, Philipp Michael ; Nachbagauer, Karin et al.
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. Hrsg. / Tullio Facchinetti; Angelo Cenedese; Lucia Lo Bello; Stefano Vitturi; Thilo Sauter; Federico Tramarin. IEEE, 2024. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling

AU - Buchner, Lukas

AU - Zallinger, Philipp Michael

AU - Nachbagauer, Karin

AU - Froschauer, Roman Franz

PY - 2024/10/16

Y1 - 2024/10/16

N2 - The evolution from Industry 3.0 to 5.0 has marked significant advancements in human-robot collaboration (HRC), with the latest stage emphasizing a human-centric approach that integrates robots as collaborative partners. Despite the potential of HRC, challenges such as communication barriers, safety concerns, and the complexity of dynamic interactions persist, potentially hindering optimal collaboration. To address these challenges, this research introduces a modeling approach that incorporates a detailed kinematic description of human movements within the workflow. By mapping human movements and calculating robot paths proactively, the proposed method aims to enhance interaction safety and efficiency, transitioning from reactive to proactive path planning.

AB - The evolution from Industry 3.0 to 5.0 has marked significant advancements in human-robot collaboration (HRC), with the latest stage emphasizing a human-centric approach that integrates robots as collaborative partners. Despite the potential of HRC, challenges such as communication barriers, safety concerns, and the complexity of dynamic interactions persist, potentially hindering optimal collaboration. To address these challenges, this research introduces a modeling approach that incorporates a detailed kinematic description of human movements within the workflow. By mapping human movements and calculating robot paths proactively, the proposed method aims to enhance interaction safety and efficiency, transitioning from reactive to proactive path planning.

KW - Human-robot collaboration

KW - Workflow modeling

KW - Proactive Path Planning

UR - https://www.scopus.com/pages/publications/85207822280

U2 - 10.1109/ETFA61755.2024.10710920

DO - 10.1109/ETFA61755.2024.10710920

M3 - Conference contribution

T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

BT - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024

A2 - Facchinetti, Tullio

A2 - Cenedese, Angelo

A2 - Bello, Lucia Lo

A2 - Vitturi, Stefano

A2 - Sauter, Thilo

A2 - Tramarin, Federico

PB - IEEE

T2 - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)

Y2 - 10 September 2024 through 13 September 2024

ER -

Buchner L , Zallinger PM , Nachbagauer K , Froschauer RF. VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling. in Facchinetti T, Cenedese A, Bello LL, Vitturi S, Sauter T, Tramarin F, Hrsg., 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. IEEE. 2024. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA61755.2024.10710920

VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling

Abstract

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Projekte

VRoboCoop - Vertrauensvolle Mensch-Roboter Kollaboration

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VRoboCoop – Proactive Human-Robot Collaboration Path Planning by Integrating Human Kinematics into Workflow Modeling

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