Yibo Peng
Papers
1
Total Citations
3
H-Index
1
About
Yibo Peng is a rising researcher at the intersection of human-robot interaction and affective computing, with a particular focus on designing emotionally expressive non-humanoid robots. In their most-cited work, "Enhancing emotional expression in cat-like robots: strategies for utilizing tail movements with human-like gazes" (2024, 3 citations), Peng pioneers a novel framework that combines biomimetic tail gestures with anthropomorphic gaze patterns to convey nuanced emotional states. This contribution addresses a critical gap in social robotics—how to make zoomorphic platforms more intuitively communicative. By systematically mapping tail positions and gaze directions to specific emotions (e.g., curiosity, contentment, alarm), Peng’s research provides a scalable design toolkit for developers of companion robots. Though early in their career, Peng’s work has already been recognized for bridging ethological principles with engineering design, offering a low-cost, high-impact method to enhance user acceptance and engagement. Their ongoing projects explore cross-cultural differences in interpreting robot body language, promising to further refine how machines build trust through non-verbal cues.
Research Focus
Key Achievements
Top Papers
- 1