PUBLICATIONS

Advanced Devices for Energy Conversion

Journals

Science Advances
년도 2025
학술지명 Science Advances
논문명 Perovskite retinomorphic image sensor for embodied intelligent vision
게재권/집 11/1
수록페이지 eads2834
저자명 Zhilong He†, Hongxiao Duan†, Jianmin Zeng†, Jie Zhou†, Xiaolong Zhong, Zhixin Wu, Shenzhou Ni, Ze Jiang, Guangjun Xie, Jung-Yong Lee, Yi Lu , Yonghong Zeng, Biao Zhang, Wu Bin Ying*, Zhibin Yang*, Zhang Zhang*, and Gang Liu*
Link 관련링크 https://www.science.org/doi/10.1126/sciadv.ads2834 1002회 연결

Abstract 


Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities. The retinomorphic sensor array, using a one photodetector–one transistor geometry to resemble retinal circuit with broadband, ultrahigh, and reconfigurable photoresponsivities, executes both adaptive imaging with a contrast enhancement of ~620% under a dim-lit intensity of 10 microwatts per square centimeter and an instantaneous one-dimensional feature extraction algorithm to decompose the origin visual scenarios into parsimoniously encoded spatiotemporal information. This retinomorphic system endows embodied intelligence with adaptive imaging, in situ processing, and decision-making capabilities and promises enormous potential for autonomous robot applications.