Prasanth Murali
Papers
6
Total Citations
38
H-Index
3
About
Prasanth Murali is a researcher at the intersection of human-robot interaction (HRI) and artificial intelligence, with a focus on designing socially intelligent robots for collaborative and counseling settings. His work addresses key challenges in multiparty communication, health education, and public speaking support. Murali’s most impactful paper, “Improving Multiparty Interactions with a Robot Using Large Language Models” (2023, 23 citations), introduces speaker diarization and LLM-driven dialogue to enable robots to facilitate group meetings by identifying speakers and personalizing responses—a significant step toward natural, real-time group interaction. He has also pioneered the use of humanoid robots for health counseling, including a study on breastfeeding promotion (2019) and a cancer genetic counseling robot (2020) that explains inherited risks and motivates testing, modeled after human counselors. His work on co-presenting with a robot (2022) explores reducing public speaking anxiety by having a robot share the stage, while his research on robot hand gestures (2021) examines how nonverbal cues convey quantitative and affective meaning. With a growing citation record and applications spanning agriculture, healthcare, and education, Murali’s contributions demonstrate how robots can become empathetic, effective partners in complex human environments.
Research Focus
Key Achievements
Top Papers
- 1Improving Multiparty Interactions with a Robot Using Large Language Models23 citations · 2023
- 2Applications of Artificial Intelligence in Agriculture4 citations · 2020
- 3Health Counseling by Robots: Modalities for Breastfeeding Promotion4 citations · 2019
- 4Sharing the Spotlight: Co-presenting with a Humanoid Robot3 citations · 2022
- 5Cancer Genetic Counseling by Humanoid Robot2 citations · 2020
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