Papers

1

Total Citations

8

H-Index

1

About

Sarah Masud is a researcher at the forefront of robotics and autonomous systems, with a primary focus on developing intelligent, life-saving technologies for disaster response. Her most cited work introduces a groundbreaking "Dynamic map generating Rescuer offering surveillance robotic system," which integrates autonomous path feedback and real-time mapping capabilities. This system is designed to navigate treacherous, unstable environments—such as those following earthquakes or structural collapses—to locate and assist victims when human entry is too dangerous. With 8 citations, this paper has laid crucial groundwork for the next generation of search-and-rescue robotics. Masud’s contributions are particularly notable for bridging the gap between autonomous navigation and practical emergency response, offering a scalable solution that can dynamically generate maps of unknown terrains while providing critical surveillance. Her work stands as a testament to the power of robotics in augmenting human capabilities during crises, and it continues to inspire further innovations in autonomous rescue systems and human-robot interaction in high-stakes scenarios.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic map generating Rescuer offering surveillance robotic system with autonomous path feedback capability
8 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Bangladesh University of Engineering and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago