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.针对复合材料制造中的表面缺陷，开发事件驱动触觉传感器与机器人检测系统。
Independently wrote the successful proposal and lead hardware development for low-latency composite inspection.担任项目联合负责人，独立完成申请并获批，目前负责触觉传感器研发与硬件集成，面向复合材料表面检测。
- 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 sensor prototyping and contact testing for millimetre-scale surface and lay-up defects in composites.负责传感器原型迭代与接触测试，面向复合材料毫米级表面与铺层缺陷开展检测。
In progress进行中
Adaptive surface inspection自适应表面检测
Develop the RobotStudio-to-ABB pipeline for surface-normal tracking and constant-force contact scanning, with continued prototype validation.开发 RobotStudio 到 ABB 机械臂的检测流程，实现曲面法向跟踪与恒力接触扫描，并继续开展原型验证。
In progress进行中
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?项目面向复合材料表面微观形貌与铺层缺陷检测，研究如何利用事件驱动触觉采集接触变化，并用于自动化质量检测。
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.我独立撰写的申请获得 NCC Technology Pull Through 计划 15 万英镑资助。作为联合负责人，目前承担触觉传感器硬件研发与系统集成工作。
- Lead sensor prototyping and contact testing for wrinkles, bridging and foreign inclusions in composite lay-ups.带领团队开展传感器原型与接触测试，检测复材铺层中的褶皱、架桥和异物夹杂。
- Integrate sensing with ABB robots and digital twins for surface-normal tracking and constant-force inspection.将传感器与 ABB 机械臂、数字孪生集成，开展曲面法向跟踪与恒力接触检测。
03 / approach方法
System direction系统设计
The inspection workflow links ABB RobotStudio trajectory planning and simulation with IRB120/2600 contact scanning. Event-based tactile observations support detection of surface and lay-up defects while the robot follows curved workpieces.检测流程将 ABB RobotStudio 轨迹规划与仿真连接到 IRB120/2600 接触扫描，利用事件驱动触觉观测检测表面与铺层缺陷，并控制机械臂沿曲面工件扫描。
04 / outcome结果
Current outcome目前进展
The £150k programme is progressing towards validation and prototype demonstration in a relevant environment at TRL 5–6. Sensor and robot-system development continue through March 2027.项目获批 15 万英镑资助，正在进行相关环境中的验证与原型演示（TRL 5–6）。传感器与机器人系统研发持续至 2027 年 3 月。
Evidence论文与材料