@inproceedings{621e9ec2ef34417fbd87ae307a9ee56f,
title = "Nonlinear model predictive control for two-wheeled service robots",
abstract = "Two-wheeled service robots capable of following a person are an active research topic. These robots will support and follow customers like tourists to many places. It is necessary that an appropriate distance be maintained between the human and the robot. In addition, robots need to not only approach but also turn toward the human to provide services when the human stops walking. Therefore, the control system should change its property depending on the situation. However, many of the previous researches report an algorithm having only one property. Thus, this research proposed a motion control system of a two-wheeled service robot that could turn around while simultaneously following a human. To achieve this, we use nonlinear model predictive control (NMPC) and evaluation function weights depending on the relative distance between robots and human.",
keywords = "Non-holonomic system, Nonlinear Model Predictive Control, Service robots, Two-wheeled robots",
author = "Shunichi Sekiguchi and Ayanori Yorozu and Kazuhiro Kuno and Masaki Okada and Yutaka Watanabe and Masaki Takahashi",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-01370-7_36",
language = "English",
isbn = "9783030013691",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "452--463",
editor = "R{\"u}diger Dillmann and Emanuele Menegatti and Stefano Ghidoni and Marcus Strand",
booktitle = "Intelligent Autonomous Systems 15 - Proceedings of the 15th International Conference IAS-15",
address = "Germany",
note = "15th International Conference on Intelligent Autonomous Systems, IAS 2018 ; Conference date: 11-06-2018 Through 15-06-2018",
}