Bioinspired organic artificial sensory systems

Abstract Bioinspired artificial sensory systems provide a promising approach to emulating biological perception. Among them, neuromorphic platforms based on organic electronics offer distinct advantages, including compatibility, mechanical flexibility, and low-voltage operation, thereby supporting the tight integration of sensing and computing. In recent years, advances in materials engineering, transduction mechanisms, and in-sensor computing architectures have enabled the realization of diverse sensory modalities including vision, touch, hearing, smell, and taste. This review consequently highlights representative systems that incorporate biologically inspired encoding, sensor processing, and real-time interpretation. In addition, increasing efforts in multimodal integration contribute to more adaptive and complex perceptual capabilities. The transition from passive sensing to near-/in-sensor neuromorphic architectures marks a critical advancement. Finally, key challenges in device performance, environmental adaptability, and scalability are outlined, with future directions toward intelligent platforms for wearables, soft robotics, and human-machine interfaces.