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
Top Papers
- 1
- 2Beyond automation: Unveiling the potential of agentic intelligence5 citations · 2025
- 3A review of orbital space robots on its technical aspects2 citations · 2019