Autonomus Systems Laboratory

Our goal is to promote the autonomy and efficiency of collaborative electronic and electromechanical systems (Cyber-Physical Systems)

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About Us

The Autonomous Systems Laboratory provides an integrated environment for research, development and testing across the entire lifecycle of autonomous systems. The dedicated workspace facilitates the design, assembly and evaluation of microelectronic circuits through a complete solder/desolder station and a high-powered microscope for precise handling and inspection. In-depth characterization of the developed systems is achieved with a range of electronic test equipment, including precision multimeters, oscilloscopes, electronic loads and power supplies for comprehensive electrical analysis. In addition, a logic analyzer facilitates the decoding and analysis of digital signals. 

Rapid design iteration is driven by a state-of-the-art 3D printer and “multi-tool” manufacturing engine, enabling the creation of specialized tools and physical structures to support autonomous system development. The lab has a number of development platforms that power the creation of Internet-of-Things (IoT) applications, machine vision systems, video processing and Field-Programmable Gate Array (FPGA) systems. 

High-performance computing capabilities are provided by a powerful virtual cluster featuring 32 CPUs and 192 GB of RAM. This computational capability facilitates complex simulations, data analysis, and machine learning tasks related to autonomous system development and performance evaluation. 

The workshop also focuses on advancing the capabilities and effectiveness of unmanned aerial vehicles (UAVs) and drones. Using a scientific approach, researchers are incorporating machine vision and video processing techniques to improve the navigation, obstacle avoidance and object recognition capabilities of these autonomous systems. 

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In addition, machine learning methodologies are applied to analyze massive amounts of sensor data collected during flight operations, helping to improve flight algorithms and decision-making processes. Through rigorous experimentation and analysis, the laboratory aims to contribute to the continuous improvement of the performance and autonomy of UAVs, promoting their utility in various fields such as surveillance, tracking and disaster response. 

The laboratory deals with research and applications related to the academic subjects:

  • of embedded and networked systems (embedded networked systems),
  • the modeling and simulation of their mode of operation,
  • of computer systems hardware (computer engineering),
  • the energy autonomy of electronic systems (energy harvesting and energy management),
  • of wireless sensor networks (sensor networks),
  • of sensor fusion,
  • of machine vision,
  • and autonomous guidance,

as they are all components of ambient intelligence and the Internet of Things (IoT).

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  • All
  • Funded Projects
  • Internal Projects
  • Diffusion Research

Autonomous multi-functional fatigue sensors of metallic Marine Structures

AMSA

EFOS: Development Of Autonomous Atmospheric Recorder Of Electrical Field For Ships

EFOS

SEEDA-CECNSM 2022 - TOWARDS THE SELF-POWERED IOT

Conference

Main Infrastructure

The laboratory has state-of-the-art equipment for the design, development and certification of advanced embedded systems, consisting among others of:

 

Research and Development Activities

The members of the laboratory are engaged in a wide range of research and development activities, including:

DESIGN AND DEVELOPMENT OF DEEPLY INTEGRATED SYSTEMS (SYSTEM ON CHIP)90%
DESIGN AND DEVELOPMENT OF DIGITAL MICROELECTRONIC DEVICES100%
DESIGN AND DEVELOPMENT OF WIRELESS SENSOR HARDWARE AND APPLICATIONS75%
DESIGNING INTELLIGENT MACHINE COMMUNICATION APPLICATIONS (IOT – MACHINE TO MACHINE COMMUNICATION)55%
ENERGY AUTONOMY FOR EMBEDDED SYSTEMS100%
IMAGE AND VIDEO RECORDING, COMPRESSION AND ANALYSIS90%
COMPUTATIONAL INTELLIGENCE EMBEDDED SYSTEMS55%
PATTERN RECOGNITION (SENSOR FUSION) AND MACHINE VISION75%
ATTITUDE CONTROL AND AUTONOMOUS NAVIGATION SYSTEMS (UAVS)55%

Education

The members of the laboratory teach the following courses:

Embedded Systems

Core Course, 5th Semester

Discrete Mathematics

Core Course, 2nd Semester

Internet of Things

Course Stream Computer Systems, 7th Semester

Logic Design

Core Course, 1st Semester

CMOS ASIC Design Techniques

Course Stream Computer Systems, 8th Semester

Wireless Sensor Networks

Course Stream Computer Systems, 8th Semester

Proposed Undergraduate Theses

Στα πλαίσια των ερευνητικών δραστηριοτήτων του εργαστηρίου προτείνονται οι παρακάτω πτυχιακές εργασίες:

 

Check out the Department of Informatics & Telecommunications

The above mentioned courses are part of the carriculum of the Department of Informatics & Telecommunications of University of Ioannina.

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Staff

Doumenis Gregory

Director

Assistant Professor

Adam Stavros

Member

Assistant Professor

Vartziotis Fotios

Member

Assistant Professor

Koutsos Christos

Member

Postgraduate Student

Masklavanos Ioannis

Member

PhD Candidate

Naskari Vasiliki

Member

PhD Candidate

Panagiotakopoulos Alexandros

Member

Undergraduate Student

NEWS - ANNOUNCEMENTS

SEEDA-CECNSM 2022

ASLSep 24, 2022

Το Εργαστήριο Αυτόνομων Συστημάτων στο διεθνές Συνέδριο SEEDA-CECNSM 2022. Το συνέδριο θα είναι υβριδικό, επιτρέποντας φυσική και διαδικτυακή συμμετοχή.

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Self-Powered IoT

ASLMay 25, 2022

Το Εργαστήριο Αυτόνομων Συστημάτων σας καλεί στο workshop με θέμα "Αυτο-τροφοδοτούμενα συστήματα στο διαδίκτυα των αντικειμένων".

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Indicative Publications

Contact us

Address:

Dept. of Informatics & Telecommunications, Kostaki - Arta, GR47 100

Phone:

+30 26810 50335