PhD Scientific Days 2022

Theoretical Medicine (Poster discussion will take place on the terrace of the room during the Coffee Break)

PlatypOUs—A Mobile Robot Platform and Demonstration Tool Supporting STEM Education

Előadó neve

Rácz, Melinda, MSc

Előadó munkahelye

Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences

Előadó telefonszáma

+36707046849

Előadó e-mail címe

racz.melinda.9157@gmail.com

Az előadás címe

PlatypOUs—A Mobile Robot Platform and Demonstration Tool Supporting STEM Education

Szerző(k) neve és munkahelye

Melinda Rácz1,2,3, Erick Noboa4, Borsa Détár4, Ádám Nemes4, Péter Galambos4,5, László Szűcs4,
Gergely Márton1,6,7, György Eigner4,5,8, Tamás Haidegger4,5
1 Research Centre for Natural Sciences, Eötvös Loránd Research Network, Budapest, Hungary
2 János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary
3 Selye János Doctoral College for Advanced Studies, Semmelweis University, Budapest, Hungary
4 Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Budapest, Hungary
5 Biomatics and Applied Artificial Intelligence Institution, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary
6 MindRove Kft., Győr, Hungary
7 Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
8 Physiological Controls Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary

Bemutatás módja

Poszter

Szekció

Theoretical Medicine (Poster discussion will take place on the terrace of the room during the Coffee Break)

Language of the presentation

English

Preferred session

Neurosciences

Összefoglaló szövege

Introduction: in an interdisciplinary project, students at Semmelweis University and Óbuda University developed a mobile robot platform that uses electrophysiological signals as control instructions.
Aim: the aim of the project was to create a mobile robot system for educational purposes (to be featured in a robot operating system programming course at Óbuda University) and to facilitate interaction between different research fields (robotics and health sciences) and students from different levels of education (i.e. from bachelor’s to doctoral studies).
Methods: the hardware is based on an Intel mini-PC, has differentially driven wheels and is equipped with wheel encoders, a LIDAR, a depth camera and an inertial measurement unit (containing an accelerometer and a gyroscope). As signal acquisition device, a portable electroencephalography headset (a MindRove arc) is utilized. The robot can be controlled to make a 90° turn to the right, to go forward or stop. A graphical user interface collects sample sequences corresponding to each command and trains a support vector machine-based classifier to differentiate between the samples.
Results: regarding sample prediction accuracy, our system could achieve 86.67%; in a pattern following task, an average error of 12.39% was encountered.
Conclusion: The initial tests have deemed our proof-of-concept system useable but further validation is required to prove its real-world feasibility.
Funding: The research was supported by the Eötvös Loránd Research Network Secretariat under grant agreement no. ELKH KÖ-40/2020 (‘Development of cyber-medical systems based on AI and hybrid cloud methods’). Project no. 2019-1.3.1-KK-2019-00007 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2019-1.3.1-KK funding scheme. The publication of the original article has been supported by the Robotics Special College via the ’NTP-SZKOLL-21-0034 Talent management and professional community building at the ÓE ROSZ’ project. Project no. FK132823 has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the FK_19 funding scheme. Melinda Rácz is thankful for the SE 250+ Doctoral Scholarship for Excellence.

University and Doctoral School

Semmelweis University, János Szentágothai Doctoral School of Neurosciences

Supervisor

Dr. Gergely Márton

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6824

Start

10:35

End

10:40

Authors (legacy)

Melinda Rácz1,2,3, Erick Noboa4, Borsa Détár4, Ádám Nemes4, Péter Galambos4,5, László Szűcs4,
Gergely Márton1,6,7, György Eigner4,5,8, Tamás Haidegger4,5
1 Research Centre for Natural Sciences, Eötvös Loránd Research Network, Budapest, Hungary
2 János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary
3 Selye János Doctoral College for Advanced Studies, Semmelweis University, Budapest, Hungary
4 Antal Bejczy Center for Intelligent Robotics, Robotics Special College, University Research and Innovation Center, Óbuda University, Budapest, Hungary
5 Biomatics and Applied Artificial Intelligence Institution, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary
6 MindRove Kft., Győr, Hungary
7 Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
8 Physiological Controls Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary