S. Radha Rammohan
Dr. M.G.R. Educational and Research Institute, Brown University
Papers
2
Total Citations
88
H-Index
2
About
S. Radha Rammohan is a researcher whose work bridges the frontiers of artificial intelligence and human-robot interaction, with a particular focus on speech emotion recognition and robotic manipulation. Her most influential contribution, "Fusion of mel and gammatone frequency cepstral coefficients for speech emotion recognition using deep C-RNN" (2021), has garnered 84 citations, establishing her as a key figure in affective computing. This work innovatively combines acoustic features with deep convolutional recurrent neural networks to enhance the accuracy of emotion detection from speech, a critical capability for empathetic AI systems. In her more recent work, "Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills" (2024), Rammohan tackles a fundamental challenge in robotics: learning complex, sustained-contact tasks like opening drawers or shifting gears. By proposing a structured policy class that minimizes what must be learned through composition, she advances the efficiency of robot skill acquisition. This dual expertise—spanning emotional intelligence in machines and dexterous physical interaction—positions Rammohan as a versatile innovator, whose work has practical implications for assistive robotics, manufacturing, and human-centered AI. Her research continues to inspire new approaches to making machines both more perceptive and more capable in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 2