The Autonomous Systems Laboratory (ASL – asl.dit.uoi.gr ) aims to improve the autonomy and efficiency of cooperating electronic and electromechanical systems as well as increasing the "intelligence" of the applications they support. The design of modern embedded systems is now focused on the ability of the systems to fulfil its purpose as independently as possible of human intervention, while providing its services in a way that is fully compatible with its operating environment .In this context, the Laboratory deals with the manifestations of special purpose computing systems, adopting a holistic approach to the issue of de-dependence from the need for human intervention for the successful implementation of its mission. The laboratory deals with research and applications related to the knowledge objects of embedded and networked systems, the modelling and simulation of its operation, the hardware of computing systems , the energy autonomy of electronic systems , sensor networks, sensor fusion, machine vision and autonomous guidance, as they are all components of ambient intelligence.
Research is conducted in the Laboratory regarding:
- Analysis, modelling and design of compliant computing and network systems.
- Study and development of network-centric systems for wireless sensor networks and the Internet of Things.
- Study, development and reliability analysis of deeply integrated systems.
- Study and development of power and energy management algorithms in cyber-physical systems.
- Development of intelligent web applications, pervasive intelligence techniques and applications.
- Study of techniques and algorithms for estimating the reliability of calculations.
- Study and development of methodologies for the control of correct operation in nanometric technologies.
- Study and development of methodologies for the control of power consumption and temperature growth in integrated systems.
- Research and development of hardware security methodologies.
The laboratory is equipped with state-of-the-art hardware infrastructure for the design, development and certification of advanced embedded systems, consisting of, among others, a high-end logic analyzer, mixed-signal oscilloscopes, signal generators, protocol analyzers, sources and (micro) consumption measurement systems, soldering stations and -welding, 3D printer, video recording and analysis systems, UAV carriers, etc. In addition, a multitude of development systems are available for IoT applications, machine vision, video processing, etc., including wireless sensor nodes and FPGA development systems. The laboratory is supported by the computing infrastructure of the department (virtualized cluster with 40 CPUs and 184GB RAM).
