Sheuli Paul
Papers
3
Total Citations
20
H-Index
2
About
Sheuli Paul is a researcher at the forefront of human-robot interaction, specializing in multimodal communication systems that enable robots to understand and respond to complex human commands. Her work focuses on integrating speech, gesture, and contextual awareness to create more natural and effective interfaces for robots operating in high-stakes environments. Paul’s major contributions include the development of a novel multimodal speech and gesture fusion system for assembly tasks, which achieved 8 citations for its innovative approach to intent recognition. She also designed a context-aware situated spoken dialog system for emergency evacuation scenarios, demonstrating noise-robust communication in crisis situations. Her most cited work, a comprehensive survey on multimodal interactive robots for military communication (10 citations), identifies critical gaps in the field and sets a roadmap for future research. Paul’s research has direct implications for defense, manufacturing, and disaster response, where reliable human-robot communication is essential. Her achievements highlight her as a rising expert in creating robots that can seamlessly collaborate with humans in dynamic, real-world environments.
Research Focus
Key Achievements
Top Papers
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