Scheduling algorithms exploring via robotics learning

CEUR Workshop Proceedings

Volumn 2104, Issue , 2018, Pages 359-365

  Merzlykin, Pavlo ^a   Kharadzjan, Natalia ^a   Medvedev, Dmytro ^a   Zakarljuka, Irina ^a   Fadeeva, Liliia ^a  

^a KRYVYI RIH STATE PEDAGOGICAL UNIVERSITY   (Ukraine)

Author keywords

Learning; Line following; Robotics; Scheduling algorithms; STEM

Indexed keywords

INDUSTRIAL RESEARCH; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; ROBOTICS; STEM (SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATICS); TEACHING;

LEARNING; LEARNING PROBLEM; LINE FOLLOWING; NEW APPROACHES; ROBOTICS COMPETITIONS; ROBOTICS LEARNING; ROBOTICS SCHOOLS;

SCHEDULING ALGORITHMS;

EID: 85048369143     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

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2. Zhao, W. and Stankovic, J., A. Performance Analysis of FCFS and Improved FCFS Scheduling Algorithms for Dynamic Real-Time Computer Systems. IEEE 1989, 1989.
3. Dmitry Bazyleva, Alexey Marguna, Konstantin Zimenkoa, Artem Kremleva, Elena Rukujzhaa. Participation in robotics competition as motivation for learning. Procedia -Social and Behavioral Sciences, 2014, pp.835 840. Available at: https://www.sciencedirect.com/science/article/pii/S187704281405397X#fn1 (ac-cessed 15 January 2018)
4. robot-help.ru Small Robot. Available at: https://robot-help.ru/images/lego-mindstorms-ev3/pdf/small-robot-31313.pdf (accessed 15 January 2018)