Healthcare Robotics for Light-Based Cosmetic Treatments
Anqing Duan, Wanli Liuchen, Domingo Gomez, Muhammmad Muddassir, David Navarro-Alarcon
Abstract
Healthcare robotics has been gaining traction as a key area of research focused on enhancing human wellness. This paper explores the use of intelligent robots in the beauty industry, specifically within the context of photorejuvenation-based cosmetic dermatology, aimed at improving facial skin aesthetics. The beauty industry, traditionally labor-intensive, is experiencing a critical shortage of skilled beauticians, highlighting the opportunity for robotic technologies to meet this demand. However, integrating robots into cosmetic procedures presents unique challenges, particularly in tasks requiring high precision, such as laser pulse delivery and thermal dose management. This study addresses these challenges by introducing a deep learning approach for trajectory generation in laser path planning and a model-based control strategy for thermal dose regulation. Our empirical results demonstrate that the presented healthcare robots can deliver effective photorejuvenation treatments, suggesting a promising future for increased automation in cosmetic services.