Meha Sharma

Papers

Total Citations

H-Index

About

Meha Sharma’s research focuses on intelligent robotics, autonomous navigation, and obstacle detection systems—areas critical to advancing real-world applications in security and industrial automation. Her major contributions lie in designing embedded systems that enable robots to navigate unknown environments safely and efficiently. In her most-cited work, “Design of an intelligent security robot for collision free navigation applications” (2014, 3 citations), she developed an embedded C program code to help robots avoid obstacles autonomously, addressing a key challenge in robotics. A related paper, “Design and implementation of obstacle detection algorithm in robotics” (2014, 2 citations), further refines these algorithms, showcasing her ability to translate theoretical concepts into practical, implementable solutions. Though her citation counts are modest, her work represents foundational steps in creating reliable, collision-free navigation for security robots—a field with growing importance in smart surveillance and automated patrol systems. Sharma’s research underscores the potential of embedded intelligence to enhance robotic autonomy, making her contributions valuable for students and engineers exploring low-cost, efficient navigation solutions in constrained environments.