Stefan-Daniel Suvei
Papers
7
Total Citations
90
H-Index
4
About
Stefan-Daniel Suvei’s research lies at the intersection of human-robot interaction, social robotics, and multimodal perception, with a focus on designing robots that can navigate social spaces with grace and safety. His major contributions center on the role of gaze in robot approach behaviors—exploring the delicate balance between legibility (looking at the path) and social contact (looking at the user). In his most cited work, “Robot technology for future welfare” (42 citations), he outlines how robotics can address societal challenges in Scandinavia, while his experimental study on gaze during approach (22 citations) reveals that a robot’s gaze toward a user can enhance perceived safety and reduce the intrusiveness of personal space invasion. His work on timing multimodal behaviors—coordinating arm movements, body posture, and speech—advances the fluency of human-robot collaboration, as demonstrated in studies with the Care-O-bot. Beyond social interaction, Suvei has contributed to sensor fusion for obstacle detection, combining stereo vision and LIDAR for robust perception in farming scenarios. His research is notable for its practical, user-centered approach, directly informing how robots can become more intuitive and socially aware partners in care, industry, and everyday life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Between legibility and contact: The role of gaze in robot approach22 citations · 2016
- 3
- 4Timing of multimodal robot behaviors during human-robot collaboration8 citations · 2017
- 5Towards Crossmodal Learning for Smooth Multimodal Attention Orientation3 citations · 2018
- 6
- 7Stereo and Active-Sensor Data Fusion for Improved Stereo Block Matching2 citations · 2016