Haochun Huang

NIHR Imperial Biomedical Research Centre, Imperial College London

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About

Haochun Huang is a rising researcher at the intersection of neuromorphic computing and robotics, pioneering the integration of brain-inspired hardware with real-world autonomous systems. His work addresses a critical bottleneck in low-power AI: bridging the gap between emerging neuromorphic platforms and conventional microcontrollers. In his highly cited 2023 paper, "An Interface Platform for Robotic Neuromorphic Systems" (11 citations), Huang introduced a novel interface board and communication protocol that enables seamless data exchange between SpiNNaker neuromorphic hardware and standard robotic controllers—a foundational step toward practical, energy-efficient AI. His 2022 live demonstration, "Neuromorphic Robot Goalie Controlled by Spiking Neural Network" (6 citations), showcased a fully functional robotic goalkeeper using a Dynamic Vision Sensor (DVS128) as an "eye" and a SpiNNaker board running a spiking neural network (SNN) to track and intercept a ball in real time. This work exemplifies how event-driven vision and neural computation can replace traditional frame-based processing, dramatically reducing latency and power consumption. Huang’s contributions are shaping the future of autonomous systems, proving that neuromorphic robotics can move beyond the lab into dynamic, real-world applications.