Max Robotics — Global Service Robot Directory + US Certification

About

Artur Abels is a pioneering researcher at the intersection of robotics and the garment industry, whose work has fundamentally reimagined how clothing can be tailored and fitted. His primary research areas include shape-changing robotics, humanoid design, and the application of machine learning to anthropomorphic systems. Abels’s most significant contribution is the development of the first shape-changing robotic mannequin—a humanoid robot capable of dynamically altering its form to replicate the body shapes of different individuals. This innovation directly addresses critical challenges in online retail and made-to-measure garment production. His foundational papers, including "Construction of a Female Shape-Changing Robotic Mannequin" (2013, 17 citations) and "Shape Control of an Anthropomorphic Tailoring Robot Mannequin" (2013, 16 citations), established the core modeling and shape-optimization algorithms for this technology. Notably, Abels advanced the field further by introducing supervised learning for real-time, automatic mannequin adjustment in his 2017 work (5 citations), eliminating the need for manual calculations. Through this body of work, Abels has laid the groundwork for a fully automated, digital tailoring future, bridging the gap between robotics and personalized fashion.