Cosmin Gorgovan
Papers
1
Total Citations
51
H-Index
1
About
Cosmin Gorgovan is a researcher whose work sits at the critical intersection of computer vision, robotics, and low-power embedded systems. His primary research area is real-time simultaneous localization and mapping (SLAM), a foundational technology for enabling machines to understand and navigate 3-D environments. Gorgovan’s most cited work, “Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality” (2018, 51 citations), provides a comprehensive survey of the immense computational challenges in achieving visual SLAM at low power. This paper is notable for mapping the trade-offs between accuracy, speed, and energy efficiency—a crucial guide for engineers developing everything from domestic robots to autonomous vehicles and AR/VR headsets. By distilling a complex, rapidly evolving field into actionable insights, Gorgovan has helped shape how researchers approach real-time spatial understanding. His contributions are particularly impactful for students and practitioners seeking to bridge the gap between theoretical algorithms and practical, power-constrained deployment, making him a key voice in the push toward truly autonomous, context-aware machines.
Research Focus
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Top Papers
- 1