Penpitcha Wanglavan

King Mongkut's University of Technology Thonburi

Papers

1

Total Citations

7

H-Index

1

About

Penpitcha Wanglavan is a researcher at the forefront of human-robot interaction, with a focused expertise in developing assistive technologies for autism therapy. Her major contribution lies in the creation of attention detection models that enable robots to interpret child behavior, a critical component for effective robot-assisted interventions. Wanglavan’s work on the BLISS robot, detailed in her most-cited paper (2019, 7 citations), pioneers a system that not only reduces therapist burden but also empowers parents and caregivers to continue therapeutic activities at home. By integrating behavioral analysis with robotic mediation, she addresses a key challenge in autism therapy: sustaining engagement and progress outside clinical settings. Though her citation count is modest, the practical impact of her research is significant, offering a scalable, accessible tool for families. Wanglavan’s contributions exemplify how interdisciplinary robotics can transform care, making her a notable figure in the growing field of socially assistive robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
The Development of Attention Detection Model from Child Behavior for Robot-Assisted Autism Therapy
7 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: King Mongkut's University of Technology Thonburi

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago