Papers
4
Total Citations
31
H-Index
3
About
Zengrong Guo is a pioneering researcher at the intersection of robotics and garment e-commerce, whose work focuses on developing form-changing humanoid robots to revolutionize remote garment fitting. Her primary research areas include deformable robotic mannequins, remote fitting systems, and human-robot interaction for fashion applications. Guo’s most significant contribution is the design of a form-changing female fitting robot (2016, 18 citations), which can physically mimic a consumer’s body shape to enable remote garment try-ons, directly addressing the high return rates in online clothing sales. She further advanced this concept with a comprehensive remote fitting system (2018, 6 citations) that integrates a flexible humanoid robot, interactive interface, and comfort measurement device. Her panel-based fitting robot (2018, 5 citations) introduced innovative shell panel deformation for more accurate body simulation, while her deformable lower body robot (2018, 2 citations) specifically targeted the comfort requirements of lower garments. Guo’s work is notable for its practical application in solving real-world e-commerce challenges, bridging the gap between robotics technology and consumer needs. Her research has laid the groundwork for intelligent, adaptive fitting solutions that could transform the online shopping experience.
Research Focus
Key Achievements
Top Papers
- 1The design of a form-changing female fitting robot18 citations · 2016
- 2The design of a remote fitting system for garment e-commerce6 citations · 2018
- 3Structural design and optimization of a panel-based fitting robot5 citations · 2018
- 4Design of a Deformable Lower Body Robot for Garment E-Commerce2 citations · 2018