Four research case studies show how I frame a problem, build the system, measure the result and connect it to real deployment.这里整理了四项研究项目,说明我怎样确定研究问题、搭建系统、测量结果,以及这些工作与实际部署的关系。
£151kResearch funding secured已获科研资助Across two awards来自两项资助
Each case separates the problem, my contribution, the technical path and the evidence. Open one for the complete story.每个项目都会分别说明研究问题、我负责的工作、所用方法和研究结果。进入项目页可以查看完整内容。
TOUCH触摸EVENTS事件MODEL模型QA
MODEL / INSPECTION LOOP模型 / 检测流程Concept model概念图
01Industry产业
Funded · in progress已获资助 · 正在进行
Autonomous composite quality assurance with neuromorphic touch用神经形态触觉检测复合材料缺陷
Moving tactile intelligence from the lab to the manufacturing line.开发一套系统,用事件驱动触觉采集复合材料表面信号,并实时检测缺陷。
Co-authored the successful proposal and lead hardware development for real-time defect detection in composite manufacturing.我参与撰写获批的项目申请,并负责实时缺陷检测系统的硬件开发。
Preprint · workshop version accepted预印本 · 研讨会版本已接收
Efficient spiking models for neuromorphic touch面向边缘设备的脉冲神经网络压缩
Compressing spiking networks for low-resource deployment.这项研究压缩训练好的脉冲神经网络,使其能部署在资源有限的设备上。
Develops one-shot post-training pruning and quantisation methods that preserve useful spike dynamics while reducing model cost.我参与训练后单步剪枝与量化研究:模型训练完成后直接压缩,无需重新训练。
Understanding how movement changes tactile perception.研究触摸速度、接触力和探索动作对纹理识别的影响。
Studies velocity modulation and compound exploratory motions to improve texture discrimination under realistic contact variation.我通过人类触摸实验和神经形态机器人实验,分析速度与复合动作对纹理识别的影响。
Role项目角色
First author · Equal-contribution researcher第一作者 · 共同一作
Neuromorphic tactile framework for composite surfaces复合材料表面的触觉检测
A seed project connecting event-based touch with real-time surface analysis.这项种子项目研究用事件驱动触觉实时分析复合材料表面的方法。
Led an early-career award to establish the sensing, data and experimental framework for tactile composite inspection.我以 PI 身份主持这项种子项目,确定复合材料触觉检测的传感方案、数据处理方法和实验设计。
Produced documentation, ran hardware stability tests and built application demonstrations for Magician, M1 and M1 Pro robots.我为 Magician、M1 和 M1 Pro 编写技术文档,开展硬件稳定性测试并开发应用演示。