Papers
4
Total Citations
55
H-Index
4
About
Alexandru Sorici is a researcher whose work sits at the intersection of social robotics, human-robot interaction, and assistive technology. His research focuses on developing intelligent frameworks and perception systems that enable robots to operate effectively in real-world social environments, particularly in contexts supporting elderly and vulnerable populations. Sorici's most recognized contribution is the AMIRO Social Robotics Framework, deployed and evaluated on the Pepper robot, which has garnered 27 citations since its publication in 2020. This work addresses the growing demand for affordable, deployable social robotics platforms across sectors including retail, entertainment, and assisted living. Complementing this, his research on human action recognition for social robots (12 citations) tackles the fundamental challenge of enabling robots to proactively understand and respond to human behavior — a critical capability for genuinely assistive systems. His earlier work on user detection, tracking, and recognition in care scenarios, along with efforts toward modular human-robot interaction frameworks, reflects a consistent drive to make social robots more adaptable and practically deployable across diverse robotic platforms. Taken together, Sorici's body of work contributes meaningfully to the technical foundations required for robots to serve as reliable, context-aware companions in assistive and public-facing environments.
Research Focus
Key Achievements
Top Papers
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- 2Human Action Recognition for Social Robots12 citations · 2019
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