About

Vandi Verma is a leading roboticist whose work spans autonomous planetary exploration, probabilistic AI, and fault detection for robotic systems. Best known for her contributions to NASA's Mars rover programs, Verma has helped shape how robots navigate, self-monitor, and make decisions in extreme and remote environments. Her early research on mobile robotic guides for the elderly (290 citations) demonstrated the power of probabilistic techniques for real-world uncertainty, while her foundational work on planetary rover traversability (247 citations) advanced autonomous obstacle avoidance and path planning under severe computational constraints. Her highly cited work on real-time fault diagnosis (211 citations) introduced algorithms enabling robots to detect subtle behavioral deviations during operation — a critical capability for deep-space missions. Verma's impact reached its most visible expression with NASA's Perseverance rover on Mars, where she contributed to the AutoNav autonomous navigation system, which guided 88% of the rover's first Martian year of travel (106 citations). Her additional contributions to spacecraft execution languages, command systems, and flight software simulation further cement her reputation as a central figure in making robotic space exploration smarter, safer, and more independent.

Research Focus

Key Achievements

13
H-Index
21
Papers
1,164
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Experiences with a mobile robotic guide for the elderly
290 citations · 2002
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 81
🏛 Institutions: Carnegie Mellon University, Jet Propulsion Laboratory, Ames Research Center, Research Institute for Advanced Computer Science

Top Papers

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    Real-time fault diagnosis
    211 citations · 2004
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago