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Integrative biomechanics of a human–robot carrying task: implications for future collaborative work

Verena Schuengel, Bjoern Braunstein, Fabian Goell, Daniel Braun, Nadine Reißner, Kirill Safronov, Christian Weiser, Jule Heieis, Kirsten Albracht

Year
2025
Citations
2
Access
Open access

Abstract

Abstract Patients with sarcopenia, who face difficulties in carrying heavy loads, may benefit from collaborative robotic assistance that is modeled after human–human interaction. The objective of this study is to describe the kinematics and spatio-temporal parameters during a collaborative carrying task involving both human and robotic partners. Fourteen subjects carried a table while moving forward with a human and a robotic partner. The movements were recorded using a three-dimensional motion capture system. The subjects successfully completed the task of carrying the table with the robot. No significant differences were found in the shoulder and elbow flexion/extension angles. In human–human dyads, the center of mass naturally oscillated vertically with an amplitude of approximately 2 cm. The here presented results of the human–human interaction serve as a model for the development of future robotic systems, designed for collaborative manipulation.

Keywords

Computer scienceTask (project management)Human–computer interactionWork (physics)RobotHuman–robot interactionArtificial intelligenceSystems engineeringMechanical engineering

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