Автор(и)

Valentin Nikolov, Maya Dimitrova, Ivan Chavdarov, Aleksandar Krastev, Hiroaki Wagatsuma

Публикувано в

IWINAC 2022: Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Lecture Notes in Computer Science, vol 13258. Springer, Cham.

Резюме

    The currently designed novel educational scenarios with the walking robot BigFoot from a cyberphysical system perspective to pedagogical rehabilitation is described in the paper. The sensor system of the robot is presented, which is being developed further in order to adequately apply it to two newly formulated educational scenarios. The results of a pilot study are discussed.

Ключови думи

Walking robot; Cyber-physical system; Pedagogical rehabilitation; Special education

Благодарности

    We express our gratitude to the team of the Medical Center “Children with Developmental Problems” in Sofia for our long-term collaboration, and in particular to Dr. Daniela Milanova and Ms. Snejina Mihailova. This research work has been partially supported by the National Science Fund of Bulgaria (scientific project “Digital Accessibility for People with Special Needs: Methodology, Conceptual Models and Innovative Ecosystems”), Grant Number KP-06-N42/4, 08.12.2020; EC for project CybSPEED, 777720, H2020-MSCA-RISE-2017 and OP Science and Education for Smart Growth (2014–2020) for project Competence Center “Intelligent mechatronic, eco- and energy saving sytems and technologies” BG05M2OP001-1.002-0023.

Връзки

https://doi.org/10.1007/978-3-031-06242-1_26

Цитирай като

Nikolov, V.; Dimitrova, M.; Chavdarov, I.; Krastev, A.; Wagatsuma, H. (2022). Design of Educational Scenarios with BigFoot Walking Robot: A Cyber-physical System Perspective to Pedagogical Rehabilitation. In: Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. IWINAC 2022. Lecture Notes in Computer Science, vol 13258. Springer, Cham. https://doi.org/10.1007/978-3-031-06242-1_26

Публикацията представя изследване по проекта