Papers
6
Total Citations
51
H-Index
4
About
Dr. Lyazid Sabri is a leading researcher at the intersection of robotics, artificial intelligence, and pervasive computing, with a core focus on the **Internet of Robotic Things (IoRT)** and **cognitive ubiquitous systems**. His seminal work, “An integrated semantic framework for designing context-aware Internet of Robotic Things systems” (21 citations), established a foundational architecture that endows IoT objects with robotic perception, actuation, and control, enabling truly intelligent environments. Dr. Sabri’s pioneering contributions include developing **narrative-based knowledge representation** for robots, allowing them to reason about complex, dynamic contexts—a concept he advanced in “Narrative reasoning for cognitive ubiquitous robots” (10 citations) and extended into blockchain integration for secure, decentralized intelligence. His research has profound implications for **assistive technologies**, notably demonstrated in “Using Cognitive Ubiquitous Robots for Assisting Dependent People in Smart Spaces” (5 citations), where he designed systems that proactively support human needs. With a career spanning over a decade, Dr. Sabri’s work bridges semantic reasoning and robotic autonomy, earning recognition for shaping how machines understand and act within human-centric environments. His recent explorations into narrative knowledge and blockchain promise to redefine trust and adaptability in IoRT ecosystems.
Research Focus
Key Achievements
Top Papers
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- 2Narrative reasoning for cognitive ubiquitous robots10 citations · 2011
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