Rajeshwar Yadav
Papers
1
Total Citations
2
H-Index
1
About
Dr. Rajeshwar Yadav is a leading researcher at the intersection of mobile robotics and deep learning, with a focused expertise in real-time object detection for security and surveillance applications. His most influential work, "A Lightweight Deep Learning-based Weapon Detection Model for Mobile Robots" (2023), addresses a critical challenge in modern robotics: deploying sophisticated computer vision algorithms on resource-constrained platforms. By developing a computationally efficient model that maintains high detection accuracy, Dr. Yadav has made a significant contribution to enabling autonomous threat identification in sensitive environments where traditional surveillance systems are impractical. This work has garnered early recognition with 2 citations, signaling its growing impact on both robotics and security research communities. His research bridges the gap between theoretical deep learning architectures and practical robotic deployment, offering tangible solutions for safer autonomous systems. Dr. Yadav’s contributions are particularly valuable for students and researchers working on edge AI, embedded vision systems, and security robotics, demonstrating how lightweight neural networks can transform mobile robots into intelligent guardians of critical infrastructure.
Research Focus
Key Achievements
Top Papers
- 1