Reacting on human stubbornness in human-machine trajectory planning

Fuente: arXiv
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Hauptverfasser: Schneider, Julian, Straky, Niels, Meyer, Simon, Varga, Balint, Hohmann, Sören
Format: Preprint
Veröffentlicht: 2024
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_version_ 1866916335098789888
author Schneider, Julian
Straky, Niels
Meyer, Simon
Varga, Balint
Hohmann, Sören
author_facet Schneider, Julian
Straky, Niels
Meyer, Simon
Varga, Balint
Hohmann, Sören
contents In this paper, a method for a cooperative trajectory planning between a human and an automation is extended by a behavioral model of the human. This model can characterize the stubbornness of the human, which measures how strong the human adheres to his preferred trajectory. Accordingly, a static model is introduced indicating a link between the force in haptically coupled human-robot interactions and humans's stubbornness. The introduced stubbornness parameter enables an application-independent reaction of the automation for the cooperative trajectory planning. Simulation results in the context of human-machine cooperation in a care application show that the proposed behavioral model can quantitatively estimate the stubbornness of the interacting human, enabling a more targeted adaptation of the automation to the human behavior.
format Preprint
id arxiv_https___arxiv_org_abs_2407_17275
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Reacting on human stubbornness in human-machine trajectory planning
Schneider, Julian
Straky, Niels
Meyer, Simon
Varga, Balint
Hohmann, Sören
Robotics
Systems and Control
In this paper, a method for a cooperative trajectory planning between a human and an automation is extended by a behavioral model of the human. This model can characterize the stubbornness of the human, which measures how strong the human adheres to his preferred trajectory. Accordingly, a static model is introduced indicating a link between the force in haptically coupled human-robot interactions and humans's stubbornness. The introduced stubbornness parameter enables an application-independent reaction of the automation for the cooperative trajectory planning. Simulation results in the context of human-machine cooperation in a care application show that the proposed behavioral model can quantitatively estimate the stubbornness of the interacting human, enabling a more targeted adaptation of the automation to the human behavior.
title Reacting on human stubbornness in human-machine trajectory planning
topic Robotics
Systems and Control
url https://arxiv.org/abs/2407.17275