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Human-Humanoid Robot Cooperative Load Transportation: Model-based Control Approach

Rémy Rahem, Christopher Yee Wong, Wael Suleiman

Year
2022
Citations
2

Abstract

In order to properly integrate humanoid robots in real-life situations, they must be able to collaborate with humans in completing tasks. One of these tasks is the cooperative transportation of a heavy object, which has been widely studied in the humanoids literature. However, the proposed methods rely heavily on six-axis force/torque (F/T) sensors at the wrists, which medium-sized or even some full-sized humanoid robots do not have. This paper proposes an observer to overcome the lack of F/T sensors. The observer is then coupled with a simplified dynamic model of the transportation task allowing the humanoid robot to carry out the task in a stable way. The method is tested in simulation using a humanoid robot that does not have F/T sensors, a NAO robot, to demonstrate its performance. These tests pointed out that the proposed method successfully estimated the interaction forces while generating stable walking patterns.

Keywords

Humanoid robotRobotObserver (physics)Task (project management)Computer scienceTorqueSimulationRobot controlHuman–computer interactionMobile robot

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