@inproceedings{cc66c5e89347426da0741783c95d1048,
title = "VRoboCoop - Trajectory Planning to Achieve Reliable and Trustworthy Human-Robot Collaboration",
abstract = "The collaboration between humans and robots offers opportunities that are not achievable separately. However, a strategy for collaboration is required, as they differ in their behavior and perception. This work-in-progress paper outlines future research activities in this field, focusing on the integration of collision avoidance into robot movements. Therefore, trajectory planning is formulated as an optimization problem, which considers the human being but also finds the optimal trajectory according to a certain criterion. This reduces the cycle time or the energy required to drive the robot. The description as a multibody system enables a digital twin allowing planning in advance, but also the possibility of real-time control. This creates the basis for trust in the collaboration.",
keywords = "Adjoint method, Human-robot collaboration, Trajectory planning",
author = "Philipp Zallinger and Lukas Buchner and Roman Froschauer and Karin Nachbagauer",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024 ; Conference date: 10-09-2024 Through 13-09-2024",
year = "2024",
doi = "10.1109/ETFA61755.2024.10710679",
language = "English",
series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
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",
}