U. V. B. L. Udugama

University of Twente

Papers

1

Total Citations

2

H-Index

1

About

U. V. B. L. Udugama is an emerging researcher in the field of robotic perception and spatial understanding, with a focus on enabling autonomous navigation through advanced scene comprehension techniques. Their most notable contribution, the 2023 work "MONO-HYDRA: Real-Time 3D Scene Graph Construction from Monocular Camera Input with IMU," addresses one of robotics' fundamental challenges: equipping robots with the ability to interpret and navigate complex 3D environments using minimal sensor input. By leveraging a single monocular camera paired with an IMU, this research pushes toward more accessible and cost-effective solutions for real-time 3D scene graph generation — a technology that bridges low-level geometric understanding with high-level semantic reasoning about objects, places, and spatial hierarchies. Although early in its citation trajectory with 2 citations, the work contributes to the rapidly growing domain of 3D scene graphs, which are increasingly recognized as a cornerstone for next-generation autonomous systems. Udugama's research reflects a strong interdisciplinary foundation spanning computer vision, robotics, and sensor fusion, positioning them as a promising contributor to the future of intelligent autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
MONO-HYDRA: REAL-TIME 3D SCENE GRAPH CONSTRUCTION FROM MONOCULAR CAMERA INPUT WITH IMU
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Twente

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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