Michael B. Kulinski
Papers
1
Total Citations
18
H-Index
1
About
Michael B. Kulinski is a researcher at the forefront of human-robot interaction and educational technology, with a primary focus on developing socially intelligent robotic systems for early childhood literacy. His most-cited work, "A Social Robot System for Modeling Children's Word Pronunciation" (2018, 18 citations), introduces autonomous social robots that emulate the emotive, perceptual, and empathic abilities of human teachers to promote literacy skills in young children. This research demonstrates how such robots can replicate key benefits of one-on-one tutoring, particularly by modeling and correcting children's pronunciation in real-time. Kulinski's contributions lie in bridging artificial intelligence, developmental psychology, and robotics to create adaptive, socially-aware learning companions. His work highlights the potential of socially interactive agents to address educational gaps, especially in personalized instruction. By designing robots that respond to children's emotional and cognitive states, Kulinski advances the field of socially assistive robotics, offering scalable solutions for early education. His research continues to inspire new approaches to human-machine collaboration in learning environments.
Research Focus
Key Achievements
Top Papers
- 1