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。
- Role项目角色
- Co-Investigator · Hardware Lead共同研究者 · 硬件负责人
- Period项目时间
- 2026–2027
- Support项目资助
- £150k · NCC Technology Pull Through15 万英镑 · NCC Technology Pull Through 计划
01 / problem问题
The manufacturing question要解决的问题
Can event-based touch support real-time defect detection as part of autonomous composite quality assurance?项目针对复合材料表面的实时缺陷检测，研究如何将事件驱动触觉接入自动化质量控制流程。
02 / contribution工作
My contribution我负责的工作
I co-authored the successful proposal and own the hardware-development workstream.我参与撰写获批的项目申请，并负责触觉硬件的开发与集成。
- Translate tactile research into a manufacturing inspection system.将触觉研究方法用于制造检测系统。
- Lead sensor and hardware integration for real-time experiments.负责传感器与硬件集成，支持实时检测实验。
03 / approach方法
System direction系统设计
The programme connects event-based tactile acquisition, a real-time inference pipeline and repeatable composite-surface inspection.系统采集事件驱动触觉信号，进行实时推理，并用同一流程重复检测复合材料表面缺陷。
04 / outcome结果
Current outcome目前进展
The proposal secured £150k through the NCC Technology Pull Through programme. Technical delivery is ongoing through 2027.项目已获得 NCC Technology Pull Through 计划 15 万英镑资助，硬件与系统开发将持续到 2027 年。
Evidence论文与材料