Raveesh Meena

Papers

Total Citations

125

H-Index

About

Raveesh Meena is a researcher at the intersection of human-robot interaction, multimodal communication, and artificial intelligence. His work focuses on enabling natural, intuitive interactions between humans and robots through the integration of speech, gestures, and conversational AI. Meena’s most influential contributions include developing a multimodal conversational system for the Nao humanoid robot, which combined open-domain spoken dialogue with non-verbal gestures such as hand movements, head motions, and gaze following—enhancing the robot’s expressiveness and social presence. His research on integrating gestures and speech in human-robot interaction has garnered over 53 citations, while his foundational work on multimodal conversational interaction has been cited 57 times. Meena also advanced robot navigation by creating a data-driven parser for interpreting spoken route directions, demonstrating robustness to speech variability. More recently, he has explored AI-powered voice chat robots integrated with the Internet of Things, leveraging large language models to enable flexible, voice-controlled smart environments. With a career spanning foundational robotics to cutting-edge LLM-based systems, Meena’s work continues to shape how robots understand and respond to human communication in real-world settings.