EngineeringComputer Science

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

2026.1.1ROBOTICS AND AUTONOMOUS SYSTEMS

DOI: 10.1016/j.robot.2026.105360

Abstract

Assistive robots can support collaborative manipulation tasks such as carrying heavy or extended objects. As the human–human interaction is the basis for human–robot interaction, it is important to understand and quantify primarily haptic interaction. The subjects’ movements were recorded with a 3D motion capture system to determine spatio–temporal and upper and lower body kinematic parameters. The human–human interaction provided foundational data on human movement in collaborative manipulation tasks. The task with the robot revealed almost no changes in upper body kinematics, however, it was slower and showed adaptations of the human movement in the center of mass motion and in spatio–temporal parameters and lower body kinematics. This shows, that analyzing the interaction between humans and assistive robots focusing on human movement is essential for further developing assistive robots. • Humanhuman carrying dynamics serve as a model for humanrobot collaboration. • 3D motion capture analysis of human and robot-assisted table-carrying tasks. • Human–robot-interaction during joint carrying evoke adaptations in human motion. • Upper body kinematics remain similar in humanrobot and humanhuman interaction. • Findings inform robotic design for natural humanrobot collaborative manipulation.

Citation format

GOELL, Fabian, et al. Human-human and human-robot co-manipulation: A biomechanical analysis of a joint carrying task. ROBOTICS AND AUTONOMOUS SYSTEMS, 2026, 199: 105360.