Raneem Salim ALhasani
Papers
1
Total Citations
2
H-Index
1
About
Raneem Salim ALhasani is a rising researcher at the intersection of artificial intelligence, robotics, and healthcare automation. Her work focuses on developing intelligent mobile robotic systems that can autonomously navigate complex indoor environments while interacting naturally with humans. In her most cited paper, "AI Integrated Mobile Robot for Hospital Reception and Registration Services with Environment Mapping and Autonomous Navigation," she demonstrates how a Temi mobile robot can be programmed to serve as an automated hospital receptionist. By integrating Natural Language Processing (NLP) for human interaction and Visual Simultaneous Localization and Mapping (VSLAM) for autonomous navigation, ALhasani’s system streamlines patient registration and reception services—reducing administrative burdens and improving hospital workflow efficiency. Though early in her career, her work has already garnered citations, signaling growing interest in practical AI-driven healthcare solutions. Her contributions are particularly notable for combining real-world deployment considerations with advanced robotics algorithms, offering a scalable model for process automation in medical settings. As hospitals increasingly seek contactless and efficient service options, ALhasani’s research positions her as an emerging voice in human-robot interaction and healthcare robotics.
Research Focus
Key Achievements
Top Papers
- 1