Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Isabelle Maroger (1) , Olivier Stasse (1) , Bruno Watier (1)

1 LAAS-GEPETTO - Équipe Mouvement des Systèmes Anthropomorphes

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.

Mots clés: humanoid robot; human locomotion; path planning; benchmarking; clothoid; optimal control

Domaines: Robotique [cs.RO]; Biomécanique [physics.med-ph]

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⟩