Erik Tomusk
Papers
1
Total Citations
51
H-Index
1
About
Erik Tomusk is a leading researcher in real-time 3D perception, with a focus on simultaneous localization and mapping (SLAM) for robotics and mixed reality. His most-cited work, "Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality" (2018, 51 citations), provides a critical survey of the computational challenges in achieving low-power, real-time visual understanding of 3D environments. Tomusk’s contributions bridge the gap between theoretical SLAM algorithms and practical deployment in autonomous vehicles, domestic robots, and AR/VR systems. By analyzing the trade-offs between accuracy, latency, and energy efficiency, his work has guided the development of robust localization pipelines that operate under real-world constraints. His research is particularly notable for its interdisciplinary impact, informing both hardware design and software optimization. With a focus on making SLAM accessible for resource-constrained platforms, Tomusk continues to shape how machines perceive and navigate dynamic spaces, earning recognition from both academic and industrial communities.
Research Focus
Key Achievements
Top Papers
- 1