@inproceedings{c3e58081c0be494a927bd840cc272b38,
title = "Interactive Motion Planning for Autonomous Robotic Photo Taking",
abstract = "In this paper, a motion planning method is proposed for an autonomous photo-taking robot. The developed human-robot interactive motion planning and control system is based on face recognition and facial pose estimation of a target person. The target person's location is estimated after combined with robot self-localization result. Then the goal position and orientation of the robot are determined for autonomous photo-taking of the specific person. An APP for mobile phones has been integrated to select the target person and transmit the command to the robot for photo taking. After receiving the command, the robot autonomously navigates to the goal location and shoots pictures of the target person. Experimental results show that the experimental mobile robot can recognize the specific person, regardless the person is stand alone or in a crowd. The robot completed two types of picture-taking tasks by using the proposed method. ",
keywords = "Face recognition, Human-robot interaction, Mobile robots, Motion planning, Pose estimation",
author = "Lu, {Pei Chun} and Song, {Kai Tai}",
note = "Publisher Copyright: {\textcopyright} 2021 ICROS.; 21st International Conference on Control, Automation and Systems, ICCAS 2021 ; Conference date: 12-10-2021 Through 15-10-2021",
year = "2021",
doi = "10.23919/ICCAS52745.2021.9649853",
language = "English",
series = "International Conference on Control, Automation and Systems",
publisher = "IEEE Computer Society",
pages = "1979--1984",
booktitle = "2021 21st International Conference on Control, Automation and Systems, ICCAS 2021",
address = "美國",
}