Satya Prakash Yadav

Papers

2

Total Citations

169

H-Index

2

About

Dr. Satya Prakash Yadav is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and affective computing. His most influential work, a comprehensive survey on machine learning for speech emotion recognition and vision systems using recurrent neural networks (RNNs), has garnered 164 citations, establishing a foundational framework for integrating emotional intelligence into autonomous systems. Dr. Yadav’s research demonstrates how RNNs can decode human emotional states from both vocal cues and visual data, enabling more responsive and empathetic AI. More recently, he has advanced the field of robotics by developing vision-led control systems for bipedal humanoid robots, allowing them to perceive their environment and navigate complex terrains with stability. This work at the convergence of computer vision and locomotion is critical for creating robots that can operate seamlessly in human-centric spaces. By bridging the gap between emotional perception and physical mobility, Dr. Yadav’s contributions are paving the way for the next generation of socially aware, autonomous humanoid robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
169
Total Citations
85
Avg Citations/Paper
🏆 Most Cited Paper
Survey on Machine Learning in Speech Emotion Recognition and Vision Systems Using a Recurrent Neural Network (RNN)
164 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago