Manickam Umasuthan

Papers

3

Total Citations

33

H-Index

3

About

Manickam Umasuthan is a leading researcher in computer vision and autonomous robotics, with a focus on space-based applications. His work centers on developing robust vision systems for satellite proximity operations and robotic servicing, enabling spacecraft to perceive and interact with their environment without relying on artificial markers. Umasuthan’s most cited paper, “Robust 3D Vision for Autonomous Space Robotic Operations” (2001, 17 citations), introduces a model-based vision system that uses natural satellite features and 3D models for docking—a critical capability for autonomous missions. He further advanced this field with “Computer Vision Systems for Robotic Servicing of the Hubble Space Telescope” (2007, 11 citations), which addressed the challenges of NASA’s Hubble Robotic Servicing and De-orbit Mission after the Columbia tragedy. His earlier work, “Visibility Scripts for Active Feature-based Inspection” (1992, 5 citations), laid groundwork for active feature detection. Umasuthan’s contributions are vital to space exploration, enhancing the safety and autonomy of orbital operations, and his research continues to influence the development of intelligent robotic systems for extreme environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robust 3D Vision for Autonomous Space Robotic Operations
17 citations · 2001
📈 Most Prolific Year: 2001 (1 Papers)
🤝 Key Collaborators: 14

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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