Autonomous composite quality assurance with neuromorphic touch用神经形态触觉检测复合材料缺陷
Developing event-based tactile sensing to detect surface defects in composite manufacturing.开发事件驱动触觉检测方法，用于发现复合材料制造中的表面缺陷。
Independently wrote the successful proposal and lead hardware development for low-latency composite inspection.我独立完成项目申请并成功获批，目前负责低延迟复合材料检测系统的硬件研发。
- Role项目角色
- Joint Lead · Hardware R&D Lead联合负责人 · 硬件研发负责人
- Period项目时间
- Apr 2026–Mar 2027
- Support项目资助
- £150k · NCC Technology Pull Through15 万英镑 · NCC Technology Pull Through 计划
Build & progress具体工作与进展
What is in place目前做到哪一步
Funded proposal申请与立项
Independently wrote the successful £150k application to the NCC Technology Pull Through programme; serve as joint lead.独立撰写申请，获得 NCC Technology Pull Through 计划 15 万英镑资助，并担任联合负责人。
Completed已完成
Tactile hardware development触觉硬件研发
Lead the tactile hardware workstream, including sensor development and system integration for inspection experiments.负责触觉硬件研发，包括传感器开发与系统集成，为检测实验做准备。
In progress进行中
Adaptive surface inspection自适应表面检测
Connect event-based touch with ABB robot systems and a RobotStudio digital twin to investigate low-latency composite inspection.将事件驱动触觉与 ABB 机械臂、RobotStudio 数字孪生结合，研究低延迟复合材料检测。
Research goal研究目标
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 independently wrote the successful £150k application and now lead the tactile hardware research and development workstream.我独立撰写并成功获批 15 万英镑项目申请，目前负责触觉硬件的研发与系统集成。
- 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 planned inspection system brings together an ABB RobotStudio digital twin, IRB120/2600 robots, event cameras and neuromorphic touch. The research goal is to use contact signals for adaptive online surface inspection.检测系统的设计包括 ABB RobotStudio 数字孪生、IRB120/2600 机械臂、事件相机与神经形态触觉。研究目标是利用接触信号，实现自适应的在线表面检测。
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