Hiba Al-Assaad
Papers
1
Total Citations
18
H-Index
1
About
Hiba Al-Assaad is a researcher whose work sits at the intersection of mobile robotics, human–robot interaction, and semantic mapping. Her most-cited paper, the 2022 survey “Collaborative Mobile Robotics for Semantic Mapping,” has garnered 18 citations and addresses a critical challenge in the field: ensuring safety in human–robot collaboration. Al-Assaad argues that semantic maps—which layer contextual knowledge onto geometric representations—offer a promising path forward, enabling robots to not only navigate but also understand and respond to their environments in ways that support safe, intuitive cooperation with humans. This work has helped frame a key research direction for mobile robotics, highlighting how richer environmental understanding can bridge the gap between autonomous systems and human partners. Al-Assaad’s contributions are particularly notable for their focus on practical, real-world applications, where robots must operate reliably alongside people. Her research continues to influence how semantic mapping is integrated into collaborative robotics, making her a rising voice in efforts to build safer, smarter, and more context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Collaborative Mobile Robotics for Semantic Mapping: A Survey18 citations · 2022