Ravi Shankar Mishra
Papers
1
Total Citations
25
H-Index
1
About
Dr. Ravi Shankar Mishra is a leading researcher in autonomous robotics and intelligent navigation systems, with a particular focus on deploying efficient, real-time solutions on edge devices. His most-cited work, "Corridor segmentation for automatic robot navigation in indoor environment using edge devices" (2020), has garnered 25 citations and addresses a critical bottleneck in mobile robotics: enabling low-power, onboard processing for reliable corridor detection and path planning. This contribution is foundational for scaling autonomous navigation in constrained environments like hospitals, warehouses, and smart buildings. Beyond this paper, Dr. Mishra’s research spans computer vision, embedded AI, and sensor fusion, where he has developed lightweight algorithms that balance accuracy with computational efficiency. His work is notable for bridging the gap between theoretical deep learning models and practical deployment on resource-limited hardware, a challenge that remains central to modern robotics. By demonstrating that robust corridor segmentation can be achieved without cloud dependency, he has advanced the feasibility of fully autonomous indoor robots. Dr. Mishra’s contributions are particularly impactful for students and engineers seeking to understand how to design intelligent systems that operate reliably under real-world constraints.
Research Focus
Key Achievements
Top Papers
- 1