Papers
5
Total Citations
20
H-Index
3
About
Alexandros Spournias is a researcher at the forefront of Ambient Assisted Living (AAL), where he integrates robotics, the Internet of Things (IoT), and machine learning to enhance the quality of life for elderly individuals. His work focuses on designing intelligent home automation systems that combine robotic platforms with IoT technologies, enabling unobtrusive monitoring, security, and comfort control. A key contribution is his development of a novel personal assistant in Greek, which leverages natural language processing to facilitate human-robot interaction within AAL environments. Spournias has also advanced visual recognition for assistive robots, using machine learning to improve door status identification—a critical capability for autonomous navigation. His research on optimizing the operational time of AAL robots, conducted under the H2020 RADIO project, addresses power management challenges to ensure longer, more reliable assistance. Beyond technical innovation, Spournias is dedicated to knowledge diffusion, promoting experiential education in robotics, virtual reality, and IoT. With over 20 citations across his most-cited works, his contributions are shaping the next generation of assistive technologies, making independent living safer and more accessible for aging populations.
Research Focus
Key Achievements
Top Papers
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- 3Optimizing the Operational Time of Ambient Assisting Living Robots4 citations · 2020
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