Sampsa Kohtala

Norwegian University of Science and Technology

Papers

Total Citations

H-Index

About

Sampsa Kohtala is a researcher at the intersection of human-robot interaction (HRI) and artificial intelligence, with a primary focus on developing more expressive and intuitive robotic systems. His key research areas include facial expression synthesis in humanoid robots, computer vision, and machine learning for social robotics. Kohtala’s most notable contribution is his work on the FACS (Facial Action Coding System) framework, where he pioneered the use of AI to evaluate and control facial action units in humanoid robot faces. His 2022 paper, "Facing the FACS," has garnered 9 citations and offers a scalable, open-source solution for enhancing robotic expressiveness—a critical step toward more natural human-robot communication. By bridging computer vision and robotics, Kohtala addresses the long-standing challenge of creating flexible tools for evaluating diverse robotic faces. His work stands out for its practical, accessible approach, enabling researchers and developers to implement sophisticated facial control without proprietary systems. Kohtala’s research is paving the way for more emotionally intelligent robots, with potential applications in assistive technology, entertainment, and social robotics.