The field of robotics has been undergoing a major change from manufacturing applications to entertainment, home, rehabilitation, search and rescue, and service applications. Robotics requires research in many areas that include hybrid systems, embedded systems, sensory fusion, distributed artificial intelligence, computer vision, machine learning, human-machine interaction, localization, planning, navigation, etc. This large field provides ample research problems.
The Robotics and Automated Systems Lab (RAS Lab) of Frederick University carries out research on a number of sub-fields of intelligent robotics, mostly mobile systems. The laboratory houses a number of custom and premade robotic systems.
RAS research concentrates on industry and funding organizations funded projects. But, several internally funded projects are also being developed in the laboratory. It provides students and researchers with an opportunity to work on cutting edge robotic technologies and in the development of new robotics applications. The majority of the work done in the laborotory is on robot and automated systems controllers, control software, perception, sensor fusion, navigation and path planning of autonomous or semi-autonomous systems.
List of funded research projects of RAS Lab.
The goal of this project is to develop a three‐dimensional CAD application. The target users of this application are students at the K12 level of education. This application that will allow students to present their ideas and to create virtual three‐dimensional structures using virtual Engino Toy Systems contruction parts. The program will have libraries of virtual components and users will be able to build complex structures using these virtual components. Libraries will have Engino construction parts and other existing parts that are currently used in the Design and Technology courses at the K12 level of education.
Frederick University in collaboration with Engino Toy Systems has developed a new robotic system as an extension to the Engino construction toy. The system consists of 2 parts: the Engino Robotics Platform (ERP) box with its peripherals and the Engino Graphical Programming Interface EGPI). The main objective of the ERP system is to provide effective tool not only for teaching robotics, control systems and technology course but also to be integrated as an instructional tool within the teaching and learning process, aiming to achieve instructional goals. The ERP system is suitable to be used by preprimary to higher education students.
List of selected projects.
List of selected publications of the staff of RAS Lab.
N. Eteokleous, G. A. Demetriou, A. Lambrou, “The Pedagogical Framework for Integrating Robotics as an Interdisciplinary Learning - Cognitive Tool,” in Information and Communications Technology: New Research, Nova Science Publishers, Inc., 2013, ch. 7, pp. 141-158.
G. A. Demetriou, “Mobile Robotics in Education and Research,” in Mobile Robots, InTech Publications, 2011, Rijeka, Croatia, ch. 2, pp. 27-48.
G. Demetriou, G. Simmons, “VisiLogic: Digital Logic Education Through Interaction,” The Cyprus Journal of Science and Technology, Vol. 5, No. 3, 2007.
G. Demetriou, A. Lambert. “Virtual environments for robotics education: an extensible object‐ oriented platform,” IEEE Robotics and Automation, Vol. 12, No 4, pp. 75‐91, December 2005.
G.A. Demetriou, A. Hadjipieri, I.E. Panayidou, A. Papasavva, S. Ioannou, “ERON: A PID Controlled Autonomous Surface Vessel”, in MELECON 2016, Lemesos, Cyprus, April 18-20, 2016.
G. A. Demetriou, A. Lambrou, N. Eteokleous, C. Sisamos, “The Engino Robotics Platform (ERP) Controller for Education,” in 21st IEEE Mediterranean Conference on Control and Automation (MED '13), Platanias, Chania, Crete, Greece, 2013.
G. A. Demetriou, “Robotic Wheel Chairs,” in 9th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB2009), Larnaca, Cyprus, November 5-7, 2009.
G. A. Demetriou, A. Vystavkin, S. Anastasiou, A. Theofilou, C. Giannopoulos, D. Yerolemou. “Indoor Mobile Robot Localization Using a Wireless Network: WiFiBot Case Study,” in The 2008 International Conference on Artificial Intelligence (ICAI'08), Las Vegas, Nevada, July 14-17, 2008.
G. Demetriou. “A Survey of Sensors for Localization of Unmanned Ground Vehicles (UGVs),” in The 2006 International Conference on Artificial Intelligence (ICAI'06), Las Vegas, Nevada, June 26-29, 2006.
Robotics and Automated Systems Lab
Mariou Agathaggelou 18