The Polymer Society of Korea

Abstract

Machine vision technologies enable mobile and humanoid robots to detect and identify surrounding objects, facilitating cooperation with humans and assisting in human activities. To achieve error-free execution of such tasks, mobile robots necessitate high-performance imaging and data processing capabilities, especially in compact design and energy-efficient architecture. However, conventional technologies often struggle to meet the high-standard requirements of robotic vision. Here, we introduce electronic eyes featuring high-performance imaging and data processing capabilities, enabled by leveraging the unique electrical, optical, and mechanical properties of nanomaterials, offering a promising insight into the future of semiconductor technologies. First, we developed the bio-inspired cameras that emulate the structural features of biological eyes, offering a compact form factor ideal for high-mobility robotics. Second, we introduce machine vision sensors capable of performing image signal processing at the sensory level via in-sensor computing techniques, without the need for resource-intensive computations, thereby enhancing data processing efficiency.