Yanwei Bao

Hefei University of Technology, Tokushima University

Papers

Total Citations

134

H-Index

About

Yanwei Bao is a researcher at the forefront of human-computer interaction (HCI) and intelligent robotics, with a particular focus on bridging the gap between human emotional expression and robotic response. His work centers on developing algorithms and systems that enable robots to perceive, interpret, and mimic human behavior more naturally. Bao’s most influential contribution is his comprehensive 2019 review on HCI and intelligent robots, which has garnered 127 citations and serves as a foundational resource for researchers exploring the intersection of software algorithms and hardware systems in this rapidly evolving field. In a more specialized study, Bao proposed a novel method for human-like facial expression imitation in humanoid robots using recurrent neural networks. This work, while earning 7 citations, demonstrates his commitment to creating less hardwired, more organic interactions by mapping human facial geometry to robotic servo control spaces. Through these contributions, Bao is helping to shape a future where robots can engage with humans not just functionally, but expressively, making strides toward truly empathetic and intuitive artificial companions.