Rewa Sharma
Papers
2
Total Citations
5
H-Index
2
About
Rewa Sharma’s research focuses on intelligent robotics and autonomous navigation, with a particular emphasis on collision-free movement and obstacle detection in unknown environments. Her work addresses a critical challenge in robotics: enabling machines to safely and efficiently reach their goals while dynamically avoiding obstacles. In her most cited paper, “Design of an intelligent security robot for collision free navigation applications” (2014, 3 citations), she developed an embedded C program code to enhance robotic decision-making for security tasks. A complementary study, “Design and implementation of obstacle detection algorithm in robotics” (2014, 2 citations), further advanced real-time obstacle sensing and avoidance. Though her citation counts are modest, these contributions represent foundational steps in integrating embedded systems with intelligent control algorithms—key for applications in security, surveillance, and industrial automation. Sharma’s work underscores the shift from manual to automated systems, offering practical solutions for safer, more reliable robotic operation. Her research is particularly relevant for students and engineers exploring low-cost, embedded solutions for autonomous navigation in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and implementation of obstacle detection algorithm in robotics2 citations · 2014