Papers

13

Total Citations

595

H-Index

8

About

M.L. Visinsky is a pioneering researcher in robotic fault detection and fault tolerance, a field critical for ensuring the reliability and autonomy of robots operating in remote, hazardous, or inaccessible environments. Her work addresses the fundamental challenge of enabling robots to detect and recover from internal failures without immediate human intervention, a necessity for missions in space, nuclear facilities, and medical settings. Visinsky’s major contributions include the development of a layered dynamic fault tolerance framework, dividing robot control into servo, interface, and supervisor layers to systematically monitor and respond to failures. She also introduced innovative model-based fault detection thresholds to mitigate the effects of model simplification and parameter uncertainty. Her seminal survey, "Robotic fault detection and fault tolerance: A survey," has garnered 206 citations, underscoring its foundational impact. Another highly cited work, "A dynamic fault tolerance framework for remote robots" (185 citations), presents a comprehensive layered architecture that has influenced subsequent research. Visinsky’s expert system framework for fault detection and tolerance further advanced autonomous diagnostics. Her research remains essential for designing resilient robotic systems capable of sustained operation in challenging environments, making her a key figure in the evolution of autonomous robotics.

Research Focus

Key Achievements

8
H-Index
13
Papers
595
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Robotic fault detection and fault tolerance: A survey
206 citations · 1994
📈 Most Prolific Year: 1994 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Rice University, Schlumberger (United States), Johnson Space Center, Jacobs (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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