Sahan Gurusinghe

University of Moratuwa

Papers

1

Total Citations

12

H-Index

1

About

Sahan Gurusinghe is a pioneering researcher in multi-robot systems and disaster response robotics, with a focus on collaborative ground-aerial platforms. His most cited work, "Collaborative Ground-Aerial Multi-Robot System for Disaster Response Missions with a Low-Cost Drone Add-On for Off-the-Shelf Drones" (2023, 12 citations), addresses critical challenges in post-disaster assessment by developing a low-cost drone add-on that enables off-the-shelf drones to work in tandem with ground robots. This innovation allows for rapid damage evaluation, environmental stability analysis, and resource allocation to vulnerable areas without endangering human responders. Gurusinghe’s major contribution lies in making advanced multi-robot coordination accessible and affordable, bridging the gap between expensive custom systems and practical field deployment. His work has been cited for its potential to revolutionize emergency response, particularly in scenarios where human access is too dangerous. By integrating aerial and ground robots into a cohesive team, Gurusinghe has demonstrated how complementary sensing and mobility can enhance mission efficiency. His research is notable for its emphasis on real-world applicability, offering a scalable solution that could be rapidly adopted by disaster management agencies. With growing citation impact, Gurusinghe is establishing himself as a key innovator in humanitarian robotics, pushing the boundaries of what autonomous systems can achieve in life-saving contexts.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Ground-Aerial Multi-Robot System for Disaster Response Missions with a Low-Cost Drone Add-On for Off-the-Shelf Drones
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Moratuwa

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago