Next‐Generation Flexible and Stretchable Vision Systems for Advanced Image Acquisition and Processing

摘要

ABSTRACT Robotic vision is essential for enabling intelligent and autonomous systems across diverse applications, including manufacturing, healthcare, autonomous navigation, and surveillance. However, conventional vision systems, which rely on rigid imaging hardware, face challenges such as limited adaptability, high energy consumption, and processing latency. Recently, flexible and stretchable photodetectors (PDs) have emerged as promising alternatives due to their advantages over rigid counterparts, making them ideal for robotic vision that requires multifunctionality and high energy efficiency to perform environment‐specific tasks. Despite their potential, current research studies on deformable PDs have largely focused on improving basic properties such as softness and responsivity, limiting their practical implementation in robotic vision. To unlock their full potential, next‐generation flexible and stretchable vision systems must integrate advanced image acquisition and processing capabilities. This review explores recent progress in vision systems with a focus on these two aspects. First, we examine bio‐inspired vision systems that mimic structural and functional features of biological eyes to enhance image acquisition. Next, we describe vision systems integrated with in‐sensor computing architecture that enables simultaneous image acquisition and processing. Finally, we discuss remaining challenges and propose future directions for developing next‐generation flexible and stretchable vision systems to meet the growing demands of advanced robotic vision.