Mahesh Sooriyabandara
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
Top Papers
- 1
- 2Distributed Situational Awareness in Robot Swarms38 citations · 2020
- 3UMBRELLA Collaborative Robotics Testbed and IoT Platform19 citations · 2021
- 4DOTS: An Open Testbed for Industrial Swarm Robotic Solutions16 citations · 2022
- 5
- 6Asynchronous Reliability-Aware Multi-UAV Coverage Path Planning14 citations · 2021
- 7Collective transport of arbitrarily shaped objects using robot swarms12 citations · 2022
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- 9