Papers
2
Total Citations
7
H-Index
2
About
Tutan Nama is a researcher at the intersection of human-robot interaction (HRI), assistive robotics, and educational technology. His work focuses on designing intuitive, gesture-based interfaces that enable robots to support learning and development, particularly for children with special needs. In his most cited study, "Designing a humanoid robot integrated Exer-Learning-Interaction (ELI)" (2020, 5 citations), Nama introduced a transitive gesture-based HRI module that combines exercise and learning through a Precept Action Sequence (PAS) interaction framework. Using the SoftBank NAO humanoid robot and Leap Motion controllers, this experimental system enhances elementary learning outcomes for special needs children by integrating physical movement with educational content. His follow-up work, "Teleportation of human body kinematics for a tangible humanoid robot control" (2021, 2 citations), explores real-time kinematic mapping from human to robot, advancing tangible control interfaces. Though early in his career, Nama’s contributions are notable for their human-centered design and potential to democratize assistive robotics in educational settings. His research bridges robotics, cognitive science, and special education, offering a promising pathway toward inclusive, interactive learning technologies.
Research Focus
Key Achievements
Top Papers
- 1Designing a humanoid robot integrated Exer-Learning-Interaction(ELI)5 citations · 2020
- 2