Abstract:
E-learning is a modern and effective approach for training in various areas and at different levels of education. This paper gives an overview of SyRoTek, an e-learning p...Show MoreMetadata
Abstract:
E-learning is a modern and effective approach for training in various areas and at different levels of education. This paper gives an overview of SyRoTek, an e-learning platform for mobile robotics, artificial intelligence, control engineering, and related domains. SyRoTek provides remote access to a set of fully autonomous mobile robots placed in a restricted area with dynamically reconfigurable obstacles, which enables solving a huge variety of problems. A user is able to control the robots in real time by their own developed algorithms as well as being able to analyze gathered data and observe activity of the robots by provided interfaces. The system is currently used for education at the Czech Technical University in Prague, Prague, Czech Republic, and at the University of Buenos Aires, Buenos, Aires, Argentina, and it is freely accessible to other institutions. In addition to the system overview, this paper presents the experience gained from the actual deployment of the system in teaching activities.
Published in: IEEE Transactions on Education ( Volume: 56, Issue: 1, February 2013)
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Miroslav Kulich received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2004.
His research interests include planning for multi-robot systems, computational geometry for robotics, and education of mobile robotics.
Miroslav Kulich received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2004.
His research interests include planning for multi-robot systems, computational geometry for robotics, and education of mobile robotics.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Jan Chudoba is currently pursuing the Ph.D. degree in artificial intelligence and biocybernetics at the Czech Technical University, Prague, Czech Republic.
His research interests include robotic hardware and sensor data processing.
Jan Chudoba is currently pursuing the Ph.D. degree in artificial intelligence and biocybernetics at the Czech Technical University, Prague, Czech Republic.
His research interests include robotic hardware and sensor data processing.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Karel Košnar received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2011.
His research interests include topological mapping, robot autonomous navigation, and long-term autonomy.
Karel Košnar received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2011.
His research interests include topological mapping, robot autonomous navigation, and long-term autonomy.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Tomáš Krajník received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2012.
His research interests include autonomous navigation, reasoning in mobile robotics, and aerial robots.
Tomáš Krajník received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2012.
His research interests include autonomous navigation, reasoning in mobile robotics, and aerial robots.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Jan Faigl received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2010.
His research interests include multigoal planning, motion planning for high-dimensional systems, and autonomous robotic systems.
Jan Faigl received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2010.
His research interests include multigoal planning, motion planning for high-dimensional systems, and autonomous robotic systems.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Libor Přeučil received the Ph.D. degree in technical cybernetics from the Czech Technical University, Prague, Czech Republic, in 1993.
His research focuses on robot sensing, mapping, and navigation.
Libor Přeučil received the Ph.D. degree in technical cybernetics from the Czech Technical University, Prague, Czech Republic, in 1993.
His research focuses on robot sensing, mapping, and navigation.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Miroslav Kulich received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2004.
His research interests include planning for multi-robot systems, computational geometry for robotics, and education of mobile robotics.
Miroslav Kulich received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2004.
His research interests include planning for multi-robot systems, computational geometry for robotics, and education of mobile robotics.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Jan Chudoba is currently pursuing the Ph.D. degree in artificial intelligence and biocybernetics at the Czech Technical University, Prague, Czech Republic.
His research interests include robotic hardware and sensor data processing.
Jan Chudoba is currently pursuing the Ph.D. degree in artificial intelligence and biocybernetics at the Czech Technical University, Prague, Czech Republic.
His research interests include robotic hardware and sensor data processing.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Karel Košnar received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2011.
His research interests include topological mapping, robot autonomous navigation, and long-term autonomy.
Karel Košnar received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2011.
His research interests include topological mapping, robot autonomous navigation, and long-term autonomy.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Tomáš Krajník received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2012.
His research interests include autonomous navigation, reasoning in mobile robotics, and aerial robots.
Tomáš Krajník received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2012.
His research interests include autonomous navigation, reasoning in mobile robotics, and aerial robots.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Jan Faigl received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2010.
His research interests include multigoal planning, motion planning for high-dimensional systems, and autonomous robotic systems.
Jan Faigl received the Ph.D. degree in artificial intelligence and biocybernetics from the Czech Technical University, Prague, Czech Republic, in 2010.
His research interests include multigoal planning, motion planning for high-dimensional systems, and autonomous robotic systems.View more
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Libor Přeučil received the Ph.D. degree in technical cybernetics from the Czech Technical University, Prague, Czech Republic, in 1993.
His research focuses on robot sensing, mapping, and navigation.
Libor Přeučil received the Ph.D. degree in technical cybernetics from the Czech Technical University, Prague, Czech Republic, in 1993.
His research focuses on robot sensing, mapping, and navigation.View more