Sarthak Mishra
Papers
1
Total Citations
11
H-Index
1
About
Sarthak Mishra is a researcher at the forefront of robotic vision, with a primary focus on pedestrian detection and deep learning. His most-cited work, "Recent trends in pedestrian detection for robotic vision using deep learning techniques" (2021), has garnered 11 citations, establishing him as a key voice in this critical area of autonomous systems. Mishra’s contributions lie in synthesizing and advancing deep learning methodologies that enable robots to perceive and navigate human-populated environments safely. By identifying emerging trends—such as attention mechanisms and lightweight architectures—he has helped bridge the gap between theoretical computer vision and real-world robotic applications. His work directly impacts the development of safer autonomous vehicles, service robots, and assistive technologies. Beyond citation metrics, Mishra’s research is notable for its practical relevance, offering a roadmap for integrating state-of-the-art neural networks into resource-constrained robotic platforms. As the field moves toward more robust and efficient perception systems, Mishra’s insights continue to guide both academic inquiry and industrial innovation, making him a valuable contributor to the future of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1