Papers
4
Total Citations
26
H-Index
3
About
Haocan Xu is a pioneering researcher at the intersection of robotics, garment engineering, and computational design. His work focuses on developing shape-changing robotic mannequins that can accurately simulate diverse human body morphologies—a critical innovation for the fashion and e-commerce industries. Xu’s most influential contribution, “Design of robotic mannequin formed by flexible belt net” (2019), with 15 citations, introduces a deformable, multi-layered robotic system (shoulder, chest, waist, hip) driven by a flexible belt net mechanism. This breakthrough enables dynamic shape control, allowing ready-made garments to be tested on virtual body types without physical models. His subsequent work, “Predicting ready-made garment dressing fit for individuals based on highly reliable examples” (2020), extends this concept by using 3D human models to predict fit, directly addressing the trillion-dollar apparel industry’s need for virtual try-ons. Xu’s research has been recognized as foundational for computational garment design, with his 2018 and 2020 papers laying the groundwork for automated, data-driven dressing simulations. By merging mechatronics with human-centric design, Xu is reshaping how garments are developed, sold, and fitted—reducing waste and improving consumer satisfaction. His work stands as a vital bridge between robotics and fashion technology.
Research Focus
Key Achievements
Top Papers
- 1Design of robotic mannequin formed by flexible belt net15 citations · 2019
- 2
- 3The Design of a Deformable Robotic Mannequin3 citations · 2018
- 4