Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/556
Title: Human Robot Interaction to Guide a Person
Authors: Erdoğan, Kemal
Kömür, Hasan
Durdu, Akif
Ceylan, Rahime
Keywords: dataset
FSM
guide robot
HRI
human robot interaction
Publisher: IEEE
Abstract: Some people need to be guided in various cases. If this guide is a robot, there will be an interaction between human and robot. In this study, an experiment made with 15 people to show that an interaction could be established between the human and a robotic arm which is aiming to guide the human to solve a simple puzzle. Three objects were used in the experimental setup. Objects were chosen in the shape of rectangular prism and each has different size and color. A Kinect sensor was used to monitor and record the experiments. Also with these records a dataset was created which could be used for jobs like object recognition and object tracking. A six axis robotic arm was operated with an algorithm which was modeled by Finite State Machine (FSM). In the end of experiments users were asked to fill in a questionnaire. According to the answers and records it is concluded that an interaction occurs between a robotic arm and human easily. %73.33 of the users got the message from robotic arm and solved the problem successfully.
Description: 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) -- OCT 19-21, 2018 -- Kizilcahamam, TURKEY
URI: https://hdl.handle.net/20.500.13091/556
ISBN: 978-1-5386-4184-2
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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