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The Autonomous Systems Laboratory

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 to increase the "intelligence" of the applications they support. The design of modern embedded systems now focuses on the ability of systems to accomplish their purpose as independently as possible from human intervention while providing its services in a manner that is fully compatible with its operating environment. In this context, the Laboratory deals with the emergence of embedded systems, adopting a holistic approach to the issue of detachment from the need for human intervention for the succesful accomplishment of its mission. In this context, the laboratory deals with research and applications related to the embedded networked systems, modelling and simulation of its operation, computer engineering, energy harvesting and energy management, sensor networks, sensor fusion, machine vision and autonomous guidance, all of which are components of diffuse intelligence (ambient intelligence).
The Laboratory conducts research concerning:

  • Analysis, modelling and design of compliant computing and netwrorkign systems.

  • Design and development of network-centric systems for wireless sensor networks and internet of things.

  • Design, development and reliability analysis of deeply integrated systems (SoC).

  • Study and development of power and energy management algorithms in cybernetic systems.

  • Development of intelligent web applications, techniques and applications of diffuse intelligence (ambient intelligence, Internet of Things).

  • Study of techniques and algorithms for estimating the reliability of computations.

  • Study and development of methodologies for controlling the proper functioning of nanometric technologies (Design For Test).

  • Study and development of methodologies for controlling power consumption and temperature development in integrated systems (Power- and thermal- aware methodologies).

  • Study and development of methodologies for material security (Hardware Security).

The lab is equipped with state-of-the-art logistics infrastructure for the design, development and certification of advenced embedded systems, including, among other things, a high standard logic analyzer, mixed signal oscillographs, signal generators, protocol analyzers, sources and (micro) consumption metering, welding and de-welding stations, 3D printer, video recording and analysis systems, UAV carriers and more. In additionm a variety of deployment systems are available for IoT applications, machine vision, video processing, and more, including wireless sensor nodes and FPGA deployment systems. The laboratory is supported by the computing infrastructure of the department (virtualized cluster with 40 CPUs and 184GB RAM).