Papers

3

Total Citations

19

H-Index

2

About

Monika Yadav is a forward-thinking researcher at the intersection of autonomous systems and artificial intelligence, with a primary focus on robotics navigation, space robotics, and the emerging frontier of agentic intelligence. Her work explores how machines can transition from simple automation to autonomous decision-making, fundamentally reshaping human-robot interaction. Her most cited paper, "Review of Autonomous Campus and Tour Guiding Robots with Navigation Techniques" (2022, 12 citations), provides a comprehensive analysis of how mobile robots can independently navigate complex environments, reducing the physical burden on humans in settings like campuses and museums. More recently, her 2025 study "Beyond automation: Unveiling the potential of agentic intelligence" (5 citations) applies the rigorous PRISMA protocol to systematically review AI systems capable of independent reasoning and action, marking a significant conceptual leap from conventional robotics. Earlier, her 2019 review of orbital space robots (2 citations) examined the technical challenges of telerobotic control for unmanned space missions, highlighting cost-effective alternatives to crewed spacecraft. Together, Yadav's work bridges practical navigation challenges with visionary AI frameworks, offering a roadmap for the next generation of autonomous agents.

Research Focus

Key Achievements

2
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Review of Autonomous Campus and Tour Guiding Robots with Navigation Techniques
12 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Petroleum and Energy Studies, University of Salerno

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago