Parsha Pahlevannejad, M.Sc.

Organisationseinheit Innovative Fabriksysteme

Kontakt +49 631 20575 5339 (Kaiserslautern)

Parsha.Pahlevannejad@dfki.de

Adresse (Kaiserslautern) Trippstadter Straße 12267663 Kaiserslautern

Publikationen

Alle Publikationen

Context-Aware Worker Assistance System in Augmented Reality using Semantically Zoomable Digital Twin
Snehal Walunj; Parsha Pahlevannejad; Ali Karnoub; Christiane Plociennik; Martin Ruskowski
In: 2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA). IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA-2025), June 2-5, Duisburg, Germany, Pages 72-78, IEEE, 7/2025.
Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin
Snehal Walunj; Parsha Pahlevannejad; Michael Sintek; Juan Carlos Saborio; Prerna Garg; Hooman Tavakoli Ghinani; Christiane Plociennik; Nicolas Grossmann; Ansgar Bernardi; Martin Ruskowski; Joachim Hertzberg; Andreas Dengel
In: Dhananjay Singh; Jan-Willem van 't Klooster; Uma Shanker Tiwary (Hrsg.). Intelligent Human Computer Interaction. IADIS International Conference on Interfaces and Human Computer Interaction (IHCI-2024), May 29, Cham, Pages 92-104, ISBN 978-3-031-88705-5, Springer Nature Switzerland, 5/2025.
Human-Robot Interaction Through Egocentric Hand Gesture Recognition
Snehal Walunj; Nazanin Mashhaditafreshi; Parsha Pahlevannejad; Achim Wagner; Martin Ruskowski
In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 125-133, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

Profil

InCoRAP
Intentionsbasierte kooperative Roboterhandlungsplanung und Werkerunterstützung in Fabrikumgebungen
Das Projekt InCoRAP erforscht die Mensch-Roboter-Interaktion in Fabrikumgebungen unter Berücksichtigung der Intention des Menschen. Dies erlaubt die fließende Interaktion zwischen Mensch und Roboter,…

Parsha Pahlevannejad, M.Sc.

Context-Aware Worker Assistance System in Augmented Reality using Semantically Zoomable Digital Twin

Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin

Human-Robot Interaction Through Egocentric Hand Gesture Recognition

Profil

InCoRAP