Surya Sumpeno
Papers
1
Total Citations
2
H-Index
1
About
Surya Sumpeno is a researcher whose work lies at the intersection of human-robot interaction, computer vision, and natural language processing, with a particular focus on culturally adaptive technologies. His research explores how machines can communicate more naturally and personally with humans, addressing the challenge of making human-machine dialogue less rigid and more interactive. One of his notable contributions is the implementation of face detection and recognition systems integrated with the Indonesian language, enabling more intuitive communication between humans and robots. This work, published in 2016, has garnered attention with 2 citations, reflecting its foundational role in advancing culturally-aware robotics. Sumpeno’s efforts contribute to the broader goal of creating “charming” and personalized human-machine interfaces, bridging the gap between technical functionality and social interaction. His research is particularly relevant for students and researchers interested in human-robot interaction, computer vision, and the localization of AI technologies for non-English speaking contexts. Through his work, Sumpeno demonstrates a commitment to making technology more accessible and engaging for diverse user populations.
Research Focus
Key Achievements
Top Papers
- 1