Pratyush Mishra
Papers
1
Total Citations
12
H-Index
1
About
Pratyush Mishra is a researcher at the intersection of computer vision, human-robot interaction, and deep learning. His work focuses on enabling intuitive, non-verbal communication between humans and machines, particularly through gesture-based control systems. Mishra’s most cited paper, “Deep Learning based Command Pointing direction estimation using a single RGB Camera” (2018, 12 citations), tackles a critical bottleneck in social robotics: the ability to interpret human pointing gestures using only a single, low-cost RGB camera. This contribution is significant because it moves beyond expensive depth sensors or multi-camera setups, making gesture-driven interaction more accessible for domestic humanoid robots. By leveraging deep learning to estimate pointing direction from monocular vision, Mishra’s work lays a foundation for robots that can share home spaces and respond to natural human cues. His research addresses the long-standing challenge of poor performance in conventional vision-based gesture recognition, offering a more robust and practical pathway toward seamless human-robot collaboration. Mishra’s contributions are particularly relevant for students and researchers interested in deploying AI-driven interfaces in real-world, resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1