Kari Tammi
Papers
7
Total Citations
474
H-Index
5
About
Kari Tammi is a pioneering researcher whose work sits at the intersection of digital twins, robotic teleoperation, extended reality, and autonomous systems. Best known for his highly influential 2019 paper on digital twin-enabled remote surgery — which has garnered an remarkable 339 citations — Tammi was among the first to demonstrate how digital twin technology could serve as a unified control and data interface for real-time, network-driven applications with life-critical stakes. His research has consistently pushed the boundaries of what is possible in Industry 4.0 and the emerging Industry 5.0 paradigm, exploring how digital twins and extended reality can converge to create immersive, human-centric engineering environments, as reflected in his TwinXR framework (52 citations). Tammi has also made significant contributions to LiDAR-based perception, developing the 4DenoiseNet architecture to address adverse weather degradation in point clouds — a crucial challenge for autonomous driving and robotics. His more recent work on deterministic networking and semi-autonomous robot control under unstable communication conditions further demonstrates his commitment to making teleoperation robust, reliable, and practically deployable across industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 24DenoiseNet: Adverse Weather Denoising From Adjacent Point Clouds66 citations · 2022
- 3
- 4
- 5Deterministic Networking Empowered Robotic Teleoperation5 citations · 2024
- 64DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds5 citations · 2022
- 7DynaHull: Density-centric Dynamic Point Filtering in Point Clouds2 citations · 2024