Papers
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About
Zhen Kong is pioneering the intersection of neuromorphic engineering and space robotics, with a focus on developing radiation-hardened vision systems capable of autonomous operation in extreme environments. Their most notable contribution is a groundbreaking radiation-hardened neuromorphic imager, featuring self-healing spiking pixels and a unified spiking neural network (USNN) that integrates adaptive neurons and synapses. This work, published in 2025, addresses a critical challenge in space exploration: enabling robust, low-power visual processing despite constant exposure to ionizing radiation. By designing in-pixel self-healing mechanisms and a fully spike-based architecture, Kong’s prototype offers a path toward resilient, energy-efficient robotic vision for planetary rovers and orbital platforms. Though early in its citation trajectory, this research has already garnered attention for its novel fusion of hardware resilience and neuromorphic computation. Kong’s work stands at the forefront of a new generation of intelligent, autonomous systems for space, where traditional CMOS imagers fail. Their contributions promise to reshape how robots perceive and interact with harsh, unpredictable environments beyond Earth.
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