Détail du document
Identifiant

oai:arXiv.org:1802.05730

Sujet
Computer Science - Robotics Electrical Engineering and Systems...
Auteur
Chen, Zhuo Jiang, Chao Guo, Yi
Catégorie

Computer Science

Année

2018

Date de référencement

03/09/2021

Mots clés
results effect study collective interaction robot pedestrian motion
Métrique

Résumé

The study of human-robot interaction (HRI) has received increasing research attention for robot navigation in pedestrian crowds.

In this paper, we present empirical study of pedestrian-robot interaction in an uni-directional exit corridor.

We deploy a mobile robot moving in a direction perpendicular to that of the pedestrian flow, and install a pedestrian motion tracking system to record the collective motion.

We analyze both individual and collective motion of pedestrians, and measure the effect of the robot motion on the overall pedestrian flow.

The experimental results show the effect of passive HRI, where the pedestrians' overall speed is slowed down in the presence of the robot, and the faster the robot moves, the lower the average pedestrian velocity becomes.

Experiment results show qualitative consistency of the collective HRI effect with simulation results that was previously reported.

The study can be used to guide future design of robot-assisted pedestrian evacuation algorithms.

;Comment: Submitted to the 15th International Conference on Ubiquitous Robots, Honolulu, 2018

Chen, Zhuo,Jiang, Chao,Guo, Yi, 2018, Pedestrian-Robot Interaction Experiments in an Exit Corridor

Document

Ouvrir

Partager

Source

Articles recommandés par ES/IODE IA

Lung cancer risk and exposure to air pollution: a multicenter North China case–control study involving 14604 subjects
lung cancer case–control air pollution never-smokers nomogram model controls lung-related 14604 subjects north polluted consistent smokers quit exposure lung cancer risk air people factor smoking pollution study history