The Autonomous Systems Lab (ASL – asl.dit.uoi.gr ) aims to improve the autonomy and efficiency of cooperating electronic and electromechanical systems as well as to enhance the "intelligence" of the applications they support. The design of modern embedded systems now focuses on the ability of the systems to perform their purpose as independently as possible from human intervention while providing services in a manner fully compatible with their operating environment. Within this framework, the Laboratory deals with aspects of special-purpose computational systems (embedded systems), adopting a holistic approach to reducing the need for human intervention to successfully accomplish its mission. In this context, the Laboratory engages in research and applications concerning the fields of embedded and networked systems, modeling and simulation of their operation, computer engineering, energy autonomy of electronic systems (energy harvesting and energy management), sensor networks, sensor fusion, machine vision, and autonomous guidance, as all these components are integral to ambient intelligence.
Research conducted at the Laboratory focuses on:
Analysis, modeling, and design of compliant computing and networking systems.
Study and development of network-centric systems for wireless sensor networks and the Internet of Things (IoT).
Study, development, and reliability analysis of deeply integrated systems (SoC).
Study and development of power and energy management algorithms in cyber-physical systems.
Development of intelligent web applications, techniques, and applications of ambient intelligence and the Internet of Things.
Study of techniques and algorithms for estimating the reliability of computations.
Study and development of methodologies for fault detection in nanometer-scale technologies (Design For Test).
Study and development of methodologies for power consumption and temperature control in integrated systems (Power- and thermal-aware methodologies).
Study and development of methodologies for hardware-level security (Hardware Security).
ΤThe laboratory is equipped with state-of-the-art hardware infrastructure for the design, development, and certification of advanced embedded systems, including high-specification logic analyzers, mixed-signal oscilloscopes, signal generators, protocol analyzers, (micro) power consumption sources and measurement systems, soldering and desoldering stations, 3D printers, video recording and analysis systems, UAV platforms, etc. Additionally, a variety 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 department's computing infrastructure (virtualized cluster with 40 CPUs and 184GB RAM).
