Jayanta Datta
Papers
1
Total Citations
10
H-Index
1
About
Jayanta Datta is a researcher at the intersection of robotics and acoustic sensing, whose work focuses on enhancing human-robot interaction through advanced auditory perception. His key research areas include microphone array processing, visual servoing, and sensor fusion for dynamic environments. Datta’s major contribution lies in demonstrating how visual feedback can significantly improve the performance of linear microphone arrays in moving human-robot interaction scenarios, addressing a critical challenge in real-world robotic systems where both the robot and human are in motion. His most-cited paper, "Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios" (2020, 10 citations), provides foundational insights into integrating visual and auditory data to maintain robust speech capture and localization. This work is notable for its practical implications in developing more responsive and context-aware robots for collaborative tasks. Datta’s research continues to push the boundaries of how robots perceive and interact with humans in complex, dynamic settings, making his contributions valuable for students and researchers interested in multimodal sensing and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1