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Conference Papers Year : 2020

Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Abstract

In order to fluidly perform complex tasks in collaboration with a human being, such as table handling, a humanoid robot has to recognize and adapt to human movements. To achieve such goals, a realistic model of the human locomotion that is computable on a robot is needed. In this paper, we focus on making a humanoid robot follow a human-like locomotion path. We mainly present two models of human walking which lead to compute an average trajectory of the body center of mass from which a twist in the 2D plane can be deduced. Then the velocities generated by both models are used by a walking pattern generator to drive a real TALOS robot [1]. To determine which of these models is the most realistic for a humanoid robot, we measure human walking paths with motion capture and compare them to the computed trajectories.
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Dates and versions

hal-02922573 , version 1 (28-08-2020)

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Isabelle Maroger, Olivier Stasse, Bruno Watier. Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2020, Las Vegas, United States. ⟨10.1109/IROS45743.2020.9341118⟩. ⟨hal-02922573⟩
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