A Study about the Transition of Simulated Algorithms to Real Robotics and its Application in Distance Learning
Resumo
The use of virtual environments to simulate experiments of technical disciplines, such as Robotics, is a strategy that is being used in some distance learning courses. However, students may become frustrated when they discover that their simulated algorithms do not present the same behavior when running in real robots. This study, which is part of the preparation of an Educational Robotics distance learning module, intends to investigate the main reasons for this different behavior, so that such reasons can be presented and discussed with students. The idea is to encourage students in developing their algorithms considering solutions for this divergence. Thus, a practical and known problem could be transformed in an opportunity for learning.
Palavras-chave:
Robotics, Distance Learning, Simulated Algorithms
Referências
Andujar, J. and Mateo, T. (2010) “Diseno de laboratorios virtuales y/o remotos. Un caso practico”. Revista Iberoamericana de Automatica e Informatica, vol. 1, pp. 67–72.
Balakirsky, S. et al (2009) “From Simulation to Real Robots with Predictable Results: Methods and Examples”. Performance Evaluation and Benchmarking of Intelligent Systems, pp. 113-137.
Buschmann, C., Müller, F. and Fischer, S. (2004) “Grid Based Navigation for Autonomous Mobile Robots”. Proceedings of the Workshop on Positioning, Navigation and Communication (WPNC 2004), pp. 157–162.
Casini, M., Prattichizzo, D. and Vicino, A. (2003) “The Automatic Control Telelab: A User-Friendly Interface for Distance Learning”. IEEE Transactions on Education, 46(2):252-257.
Casini, M., Garulli, A., Giannitrapani, A. and Vicino, A. (2011) “A LEGO Mindstorms multi-robot setup in the Automatic Control Telelab”. Proceedings of the 18th IFAC World Congress, pp. 9812–9817, Milan, Italy.
Chen, I., Macdonald, B. and Wunsche, B. (2009) “Mixed Reality Simulation for Mobile Robots”. IEEE International Conference on Robotics and Automation. Kobe, Japan.
Jong, T., Linn, M. and Zacharia, Z. (2013) “Physical and Virtual Laboratories in Science and Engineering Education”. Science 19, 340(6130): 305-308.
Kyriacou, T. et al. (2008) “Accurate robot simulation through system identificaiton”. Proceedings of the 10th British Conference on Mobile Robotics - Towards Autonomous Robotic Systems. United Kingdom, pp. 1082-1093.
Popovic, B., Popovic, N., Mijic, D., Stankovski, S. and Ostojic, G. (2013) “Remote control of laboratory equipment for basic electronics courses: A LabVIEW-based implementation”. Computer Applications in Engineering Education, 21(S1):E110–E120.
Schaefer, D., Scott, D.W., Molina, G. J., Al-Kalaani, Y., Murphy, T., Johnson, W., and Thamburaj Goeser, P. (2008) “Integration of Distance Learning Technology into Traditional Engineering Physical Laboratory Exercises”. ASEE Southeast Section Conference.
Wang, Z., Dai, Y., and Yao, Y. (2010) “An Internet-Based e-Experiment System for Automatic ControlEducation and Research”. Proceedings of Second International Conference on Communication Systems, Networks and Applications, (ICCSNA), Hong Kong, China, vol. 2, pp. 304–307.
Xu, Y., Mellmann, H., and Burkhard, H. (2010) “An Approach to Close the Gap between Simulation and Real Robots”. Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots (SIMPAR'10). Heidelberg: Springer-Verlag. pp. 533-544.
Balakirsky, S. et al (2009) “From Simulation to Real Robots with Predictable Results: Methods and Examples”. Performance Evaluation and Benchmarking of Intelligent Systems, pp. 113-137.
Buschmann, C., Müller, F. and Fischer, S. (2004) “Grid Based Navigation for Autonomous Mobile Robots”. Proceedings of the Workshop on Positioning, Navigation and Communication (WPNC 2004), pp. 157–162.
Casini, M., Prattichizzo, D. and Vicino, A. (2003) “The Automatic Control Telelab: A User-Friendly Interface for Distance Learning”. IEEE Transactions on Education, 46(2):252-257.
Casini, M., Garulli, A., Giannitrapani, A. and Vicino, A. (2011) “A LEGO Mindstorms multi-robot setup in the Automatic Control Telelab”. Proceedings of the 18th IFAC World Congress, pp. 9812–9817, Milan, Italy.
Chen, I., Macdonald, B. and Wunsche, B. (2009) “Mixed Reality Simulation for Mobile Robots”. IEEE International Conference on Robotics and Automation. Kobe, Japan.
Jong, T., Linn, M. and Zacharia, Z. (2013) “Physical and Virtual Laboratories in Science and Engineering Education”. Science 19, 340(6130): 305-308.
Kyriacou, T. et al. (2008) “Accurate robot simulation through system identificaiton”. Proceedings of the 10th British Conference on Mobile Robotics - Towards Autonomous Robotic Systems. United Kingdom, pp. 1082-1093.
Popovic, B., Popovic, N., Mijic, D., Stankovski, S. and Ostojic, G. (2013) “Remote control of laboratory equipment for basic electronics courses: A LabVIEW-based implementation”. Computer Applications in Engineering Education, 21(S1):E110–E120.
Schaefer, D., Scott, D.W., Molina, G. J., Al-Kalaani, Y., Murphy, T., Johnson, W., and Thamburaj Goeser, P. (2008) “Integration of Distance Learning Technology into Traditional Engineering Physical Laboratory Exercises”. ASEE Southeast Section Conference.
Wang, Z., Dai, Y., and Yao, Y. (2010) “An Internet-Based e-Experiment System for Automatic ControlEducation and Research”. Proceedings of Second International Conference on Communication Systems, Networks and Applications, (ICCSNA), Hong Kong, China, vol. 2, pp. 304–307.
Xu, Y., Mellmann, H., and Burkhard, H. (2010) “An Approach to Close the Gap between Simulation and Real Robots”. Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots (SIMPAR'10). Heidelberg: Springer-Verlag. pp. 533-544.
Publicado
03/11/2014
Como Citar
SIEBRA, Clauirton A.; SOUZA, Wanderson G..
A Study about the Transition of Simulated Algorithms to Real Robotics and its Application in Distance Learning. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 25. , 2014, Dourados/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 30-39.
DOI: https://doi.org/10.5753/cbie.sbie.2014.30.
