Tomi Westerlund
Papers
68
Total Citations
1,792
H-Index
23
About
Tomi Westerlund is a prominent researcher whose work sits at the intersection of robotics, autonomous systems, and distributed computing. His research spans multi-robot coordination, localization, sensor fusion, and edge-cloud computing architectures, with a particular focus on enabling robust autonomy in complex, real-world environments. Westerlund's most influential contribution, "Collaborative Multi-Robot Search and Rescue" (2020, 485 citations), established him as a leading voice in autonomous rescue robotics, addressing critical challenges in planning, perception, and active vision for multi-robot teams. His complementary work on UWB-based localization (119 citations) and multi-sensor fusion for autonomous vehicles (104 citations) has advanced reliable positioning in GPS-denied and urban environments alike. Beyond robotics perception, Westerlund has made significant contributions to the computational backbone of autonomous systems, exploring SLAM offloading via edge-fog-cloud architectures, federated learning for distributed robots, and blockchain-enabled collaboration in heterogeneous swarms. His 2022 review on ROS 2 in the edge-cloud continuum further reflects his commitment to bridging cutting-edge research with practical deployment readiness. With over 1,000 cumulative citations, Westerlund's body of work offers invaluable resources for researchers building the next generation of intelligent, collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 4Offloading SLAM for Indoor Mobile Robots with Edge-Fog-Cloud Computing70 citations · 2019
- 5Federated Learning in Robotic and Autonomous Systems69 citations · 2021
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- 8Blockchain for Mobile Edge Computing: Consensus Mechanisms and Scalability38 citations · 2021
- 9Blockchain-Powered Collaboration in Heterogeneous Swarms of Robots38 citations · 2019
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