Industry产业
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。
Open to research collaboration and career opportunities可以联系我聊科研合作或工作机会
PhD Researcher · Neuromorphic Tactile Robotics博士研究生 · 神经形态触觉机器人
Ao Li李敖
I build low-power tactile intelligence for robots and industrial inspection.我希望机器人能通过触觉分辨材质、感知接触状态。
Bristol Robotics Laboratory · University of Bristol布里斯托机器人实验室 · 布里斯托大学
From first contact to a reliable decision从接触表面，到认出材质
- Contact接触
- Motion动作
- Events事件
- Decision判断
Selected projects精选项目
Research that moves研究项目
A short selection of work across tactile hardware, robot motion, event data and efficient models.这些项目包括触觉传感器、机器人的主动触摸动作、事件数据处理和脉冲神经网络。
Software软件
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。
Research focus研究方向
From contact to decisions我研究机器人如何通过触觉识别材质
I study how robots can actively explore the world through touch. At Bristol Robotics Laboratory, I combine human-inspired movement, neuromorphic tactile sensing and spiking neural networks, then translate those ideas into real-time inspection systems for composite manufacturing.我的博士研究关注机器人如何通过主动触摸获取纹理和接触信息。目前，我在布里斯托机器人实验室研究仿人触摸动作，用神经形态触觉传感器采集事件数据，并用脉冲神经网络处理这些数据。这些方法也用于复合材料的实时缺陷检测。
Sense contact采集触觉信号
Build event-based tactile sensors that capture texture and contact as sparse signals.制作事件驱动触觉传感器，采集由纹理变化和接触状态变化产生的稀疏信号。
Neuromorphic tactile hardware神经形态触觉硬件Explore actively研究主动触摸
Study how speed, motion and contact strategy change what a robot can feel.通过实验研究速度、动作和接触策略如何改变机器人获得的触觉信息。
Human-inspired movement仿人探索动作Compute with spikes用脉冲网络识别纹理
Use spiking neural networks to classify tactile events with low power and latency.使用脉冲神经网络识别触觉事件，在低功耗和低延迟下完成分类。
Efficient neuromorphic models高效神经形态模型Inspect in real time检测复合材料缺陷
Translate laboratory touch into autonomous composite quality assurance.用触觉传感和实时推理自动检测复合材料缺陷。
Industrial deployment工业现场部署Selected publications精选论文
Published evidence论文与预印本
Recent work in tactile robotics, active exploration and efficient spiking neural networks.这些论文涉及触觉机器人、主动触觉和脉冲神经网络压缩。
PhD
University of Bristol布里斯托大学
Engineering Mathematics工程数学4
Research outputs研究成果
Tactile robotics & SNNs触觉机器人与脉冲神经网络£151k
Funded projects项目资助
As PI or Co-Investigator担任 PI 或共同研究者300+
Teaching hours教学时数
Across six university modules涵盖六门大学课程- 01
Velocity Modulation in Robotic Texture Exploration Based on Human Perceptual Dimensions
- 02
Exploratory Movement Strategies for Texture Discrimination with a Neuromorphic Tactile Sensor
- 03
Neuromorphic touch for robotics — A review
Current role现在的工作
Research, teaching and industry研究、教学和工程经历
Researcher研究员
Bristol Robotics Laboratory · Dexterous Group
- Research human-inspired tactile exploration for robotic perception.研究机器人通过仿人的触摸动作感知纹理。
- Prototype tactile sensor hardware and analyse event data with SNNs.制作触觉传感器原型，并用 SNN 分析事件数据。
Personal route个人路径
About关于
Beyond the workbench工作台之外
Away from the lab, I travel with a camera, play Dota 2, and make time for basketball, table tennis and hiking.不做实验的时候，我会带着相机去旅行，也会打 Dota 2、打篮球、打乒乓球，或者去徒步。
01 / About01 / 关于
A few things outside research实验室以外的几件事
The rest of the week has room for a camera, a game, and time away from the desk.做完实验，剩下的时间我会拿来拍照、打游戏，或者出门活动。
About关于02 / Journeys02 / 足迹
19 places, collected十九个地点
The journeys page keeps 19 places, grouped by region.足迹页面收着十九个地点，按地区整理好了。
See the journeys查看足迹