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About

Dr. Jiajia Luo is a pioneering researcher at the intersection of computer vision and soft robotics, whose work spans monocular body orientation estimation, multimodal scene reconstruction, and advanced artificial muscles. In computer vision, Luo introduced **MEBOW**, a method for Monocular Estimation of Body Orientation in the Wild (40 citations), which provides critical visual cues for robotics and autonomous driving when 3D pose estimation fails due to occlusion or low resolution. Luo also advanced neural rendering with the **Multimodal Neural Radiance Field** (16 citations), enabling robots to reconstruct and understand scenes using multiple sensory modalities. Transitioning to soft robotics, Luo has made groundbreaking contributions to **liquid crystal elastomer (LCE) optical fiber artificial muscles**, achieving multidirectional actuation and precise control (12 citations). Luo developed a **switchable photothermal conversion efficiency** strategy for reprogrammable actuation (10 citations) and pioneered **scalable coaxial extrusion** of LCE optical fibers with intrinsic photomechanical waveguiding-actuation synergy (3 citations). This work overcomes fundamental limitations of lateral light irradiation, such as self-occlusion, enabling more reliable, fiber-optic-driven soft robots. Luo’s interdisciplinary research uniquely bridges computer vision and materials science, with applications ranging from autonomous systems to biomedical devices.