Mahesh Sooriyabandara

Toshiba (United Kingdom), Toshiba (Japan)

Papers

9

Total Citations

184

H-Index

8

About

Mahesh Sooriyabandara is a leading researcher at the intersection of swarm robotics, industrial IoT, and multi-agent systems, with a focus on bridging the gap between laboratory prototypes and real-world deployment. His major contributions center on developing open-access testbeds—most notably the UMBRELLA IoT platform and the DOTS industrial swarm robotics testbed—which provide researchers and industry partners with scalable, 5G-enabled environments for experimentation. Sooriyabandara’s work on mutual shaping in swarm robotics (54 citations) has advanced understanding of how users perceive and trust robot swarms in critical domains like fire and rescue, storage organization, and bridge inspection. He has also pioneered distributed situational awareness algorithms for many-robot systems (38 citations) and reliability-aware coverage path planning for multi-UAV missions, using genetic algorithms to ensure graceful degradation in failure-prone drones. His research on collective transport of arbitrarily shaped objects and stochastic storage retrieval demonstrates practical pathways for out-of-the-box swarm logistics. With over 170 cumulative citations and a portfolio of high-impact papers from 2020–2024, Sooriyabandara is recognized for creating the infrastructure—both physical and algorithmic—that enables swarm robotics to move from controlled labs into messy, real-world operations.

Research Focus

Key Achievements

8
H-Index
9
Papers
184
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Mutual Shaping in Swarm Robotics: User Studies in Fire and Rescue, Storage Organization, and Bridge Inspection
54 citations · 2020
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Toshiba (United Kingdom), Toshiba (Japan)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago