Hannu Tenhunen
Papers
13
Total Citations
760
H-Index
9
About
Hannu Tenhunen is a prominent researcher whose work spans robotics, autonomous systems, and edge computing, with particular focus on multi-robot coordination, simultaneous localization and mapping (SLAM), and embedded hardware design. His most celebrated contribution is a landmark 2020 survey on collaborative multi-robot search and rescue systems, which has accumulated an impressive 485 citations and stands as a definitive reference for researchers tackling planning, perception, and coordination in life-critical autonomous deployments. Tenhunen has consistently pushed the boundaries of resource-efficient robotics, exploring how edge, fog, and cloud computing architectures can offload computationally intensive tasks—such as lidar odometry and visual odometry—from hardware-constrained mobile robots, reducing energy consumption while maintaining performance. His work on low-cost FPGA-based 3D lidar design and collision avoidance algorithms further demonstrates a commitment to making advanced robotics accessible and practical. Tenhunen has also made meaningful contributions to swarm robotics, developing communication-free and distributed formation control algorithms suited for surveillance and disaster response scenarios. Across his portfolio, he bridges theoretical foundations with real-world engineering challenges, making his research highly relevant for both academic audiences and industry practitioners advancing the next generation of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Offloading SLAM for Indoor Mobile Robots with Edge-Fog-Cloud Computing70 citations · 2019
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10